The Top Movers amp Shakers in Autonomous AI Today AN INDUSTRY-BY-INDUSTRY SNAPSHOT OF THE COMPANIES PAVING THE WAY TO AN AUTONOMOUS FUTURE
2 New York | Tel Aviv | wwwalbertai | infoalbertai
Table of Contents
INTRODUCTIONSeparating AI Trendsetters from the Knockoffs
AUTOMOTIVEWaymo
ROBOTICS PROCESS AUTOMATIONAutomation Anywhere
MEDICALSentrian
MARKETINGAlberttrade
FINANCENICE Actimize
CONCLUSIONLooking Forward
ABOUT ALBERT
3
4
5
6
7
8
9
10
Introduction Separating AI Trendsetters from the Knockoffs
For a long time the main obstacle to AI adoption
across industries was the notion that the technology
just wasnrsquot ready for business deployment Artificial
intelligence seemed like a good idea but decision-
makers too often shrugged it off as not fully mature
at best and a science fiction-fueled pipe dream at
worst
Today however there are very few who donrsquot
recognize AIrsquos current impact on the economy
and even fewer who donrsquot expect that impact to
deepen in the future But now that AI is fashionable
the challenge for businesses is to separate real
trendsetters offering ldquoautonomousrdquo AI solutions mdash
software or equipment that uses artificial intelligence
to independently make decisions take actions
then report on those decisions and actions mdash from
imitators trying to profit from the trend Many of the
products being billed as AI or machine learning are
knockoffs that only offer automation mdash technology
that is unable to make any decisions that havenrsquot
already been prescribed by their human operators
These imitators arenrsquot likely to drive any real results
for their users and are therefore unlikely to play a
very big role in the development of AI as it transforms
our economy our jobs and our day-to-day life in
the coming years To get a clearer sense of that
future we looked for some of the most innovative
applications of autonomous AI across industries and
took a deeper dive into how their contributions will
likely shape their own sectors as well as the world at
large
All of the AI companies we spoke with are offering
something new and exciting to their respective
spaces automotive robotics marketing healthcare
manufacturing and finance Important factors like
government regulation will have a huge impact on
AIrsquos future direction but for the time being these
innovators offer us the best glimpse of a better more
efficient more autonomous future
4 New York | Tel Aviv | wwwalbertai | infoalbertai
Automotive - Waymo
Formerly known as the Google Car Project Waymo
has rapidly grown from a top-secret pet project in
2009 to its own subsidiary company in 2016 With the
possible exception of Cruise a General Motors-owned
competitor Waymo is virtually unchallenged as the
leader of the autonomous automobile space
While other would-be driverless automakers have tried
to force their car designs to accommodate AI Waymo
takes the opposite approach creating software that
easily integrates with contemporary car models
Waymo understood early on1 that an autonomous car
should disrupt its market not the experience of its end-
user Thatrsquos why the company is placing an emphasis
on collaboration with automakers like Chrysler Jaguar
Honda and semi-truck manufacturer Peterbilt The
company wants to create a single piece of software
that can be integrated with cars that people already
know and love rather than building a car of their own
But while Waymo is relying on its partners in the auto
industry to provide the vehicles themselves both the
hardware and software that make up its autonomous
ldquodriverrdquo are developed in-house2 The companyrsquos
cutting-edge AI technology relies on a range of
different sensors a light detection and ranging (LiDAR)
unit emits millions of laser beams a second to build a
picture of the cars surroundings that extends up to
300 yards in every direction
1 M Debord (2018 April) Waymo and GM are both developing self-driving tech that could change how we travel mdash but therersquos one big difference between the two - Business Insider httpwwwbusinessinsidercomhow-waymo-and-cruise-self-driving-car-strategy-differs-2018-4r=UKampIR=T
2 K Korosec (2017 January) 5 Things to Know About the Future of Googlersquos Self-Driving Car Company Way - PwC httpfortunecom20170108waymo-detroit-future
Radars are used to determine exactly how far away
objects are from the vehicle while high-resolution
cameras offer 360-degree views of your surroundings
to pick up on visual cues like traffic signals even if
theyrsquore in low or harsh lighting Whatrsquos more Waymo
has been steadily driving down the price of this
often expensive equipment eliminating what many
perceived to be an obstacle to widespread consumer
adoption of self-driving cars
Whatrsquos more interesting to us than all of this cutting-
edge equipment however is whatrsquos ldquobeneath the
hoodrdquo so to speak Waymorsquos AI system is informed not
only by all the hardware we just described but by hours
and hours of driving experience gained during test runs
Some of that comes from driving beta versions of the
product on real city streets but the bulk of it actually
comes from virtual simulations3 These simulations allow
the developers to test highly complex traffic situations
that would be rare and often dangerous to test in the
real world The eight million miles Waymo vehicles have
logged are all fed into its central AI allowing each of its
vehicles to learn from the collectiversquos experiences and
apply those learnings on the road
With both more hours of driving than any human
can remember and better sensory information than
any human can gather Waymorsquos deep learning
algorithms have everything they need to achieve
the companyrsquos mission of making driving safer for
everyone The question in the next coming years is not
if Waymo will dominate our roads but when
3 T Greene (2017 October) Waymo created its own driverrsquos ed course for AI - The Nexr Web httpsthenextwebcomartificial-intelli-gence20170911waymo-created-drivers-ed-course-ai
5New York | Tel Aviv | wwwalbertai | infoalbertai
Robotics Process Automation - Automation Anywhere
The advance of AI and other technologies is
expanding the possibilities of what can and cannot
be automated Automation is obviously appealing to
enterprises looking to increase their profit margins but
most of them need a solution that can be designed
to fit their specific processes without the need for any
advanced programming on their part That solution
appears to be Robotics Process Automation (RPA) and
the top player in that space is Automation Anywhere
RPA itself merely refers to the use of software to
automate routine tasks that humans typically find too
mundane and repetitive to do efficiently automatically
completing tasks like filling out invoices or making and
emailing meeting transcriptions to attendees Where
it gets really interesting is with the implementation
of AI which allows the robots to not just repeat the
movements prescribed by their programmers but learn
new and more efficient methods based on what they
observe This is where the potential of the technology
truly opens up and Automation Anywhere is one of the
few companies even beginning to scratch the surface
of that potential
The companyrsquos IQ bots do much of the heavy lifting
that previous work process automation technologies
have failed to take on Because other RPA platforms
donrsquot use cognitive technology they can only
automate rather than work autonomously That
means that any data that might inform how the bot
performs a certain job has to be hand-fed to the
platform by human users making their implementation
more difficult and reducing the potential benefits to
be gained from automation in the first place
Automation Anywhere applies its AI to the task of
structuring all the data that other RPA platforms might
miss from semi-structured data like contracts and
invoices to completely unstructured data like emails
instant messages and even video That makes it
possible for them to handle content-centric front-end
work like customer service but these capabilities are
more critical to back-office activities4 than many RPA
adopters think All the information it takes to complete
administrative tasks like cross-checking financial
documents and writing form letters may exist in
unstructured formats like scanned PDF files and invoices
While other players in the RPA space are struggling to
seamlessly automate processes with the technology
Automation Anywhere is realizing RPArsquos full potential
Forrester has dubbed Automation Anywhere5 a
leader in the RPA space and itrsquos easy to see why the
company is going the whole nine yards to make sure
their product integrates with any companyrsquos existing
processes mdash no matter their scale or industry
4 Everest Group Research (2017) Automating Content-Centric Processes with Artificial Intelligence (AI) - Automation Anywhere httpswwwautomationanywherecomimageslppdfever-est-group-automating-content-centric-processes-with-aipdf
5 Forrester (2017 Q3) The Forrester Wavetrade Enterprise BI Platforms With Majority Cloud Deployments Q3 2017 - GoodData httpsinfogooddatacomForrester-Wave-2017-Enterprise-Cloud-BI-Reg-wFormhtml
6 New York | Tel Aviv | wwwalbertai | infoalbertai
Medical - Sentrian
Yoursquove probably already heard plenty of lofty
prognostications about a future where doctors can
begin to anticipate and treat your illnesses before
you even feel their symptoms but Sentrian is the
company thatrsquos actually closest to making those
fantasies a reality Recognizing a crisis in American
healthcare where more people are living longer lives
and experiencing greater rates of chronic disease
the company is using biosensors and AI to stay two
steps ahead of illnesses so that patients can spend
their lives in the comfort of their homes
Sentrian bills itself as ldquothe first remote patient
intelligence companyrdquo and aims to use its AI to
analyze massive volumes of patient data in order
to more accurately predict when chronically ill
individuals will actually need to be hospitalized Care
providers often donrsquot have the necessary information
to determine which medical problems can be
reversed through a fairly moderate intervention
and when This leads to many unnecessary
hospitalizations excessive medical costs and a
drastic impact on the patientrsquos quality of life
Sentrian aims to fix these problems by bridging the
gap between primary care clinicians and patients
with chronic illness who are living at home As remote
biosensors become both more advanced and
more affordable the company plans to leverage
the massive amount of medical data they produce
by training their AI to do the work of a full-time
clinical team The AI is taking in massive amounts
of information from around the world not only from
biosensors but importantly from the information
reported by patients and doctors All this data is
enabling the AI to detect warning signs in patients
that would normally take a team of doctors to
identify
New technologies have traditionally faced huge
obstacles to adoption in healthcare because of how
strongly regulated the field is with IT professionals
often struggling to connect all the various platforms
that do manage to get FDA approval in ways that are
both efficient and compliant Thatrsquos why the Sentrian
platform is device-and gateway-agnostic which
means that as more devices become approved
and used they can immediately start feeding data
into the platformrsquos AI This will only serve to make its
decisions more informed as more data devices and
patients are plugged into it
Like with Automation Anywhere the Sentrian AIrsquos truly
autonomous quality is its ability to sort through not
only a tremendous amount of data but data with
an incredibly wide range of formats and purposes
The platform will be able to unite many different
data sets regarding the same patient (from various
doctors tests specialists etc) to derive coherent
insights while also using data from patients suffering
with similar conditions in different cities states or
even continents Sentrian could be a fix not just for
millions of patients dealing with chronic illness but
for healthcare systems across the globe as they deal
with a new generation of patients
7New York | Tel Aviv | wwwalbertai | infoalbertai
Marketing - Alberttrade
Of course wersquod be remiss to make a list of the top
performers in autonomous AI without mentioning
Albert the worldrsquos first completely autonomous
marketing platform built from the ground up using
AI As modern marketers struggle to manage ever-
growing volumes of consumer data coming from
campaigns run on an ever-expanding number of
channels Albert is freeing marketers to return to the
creative and strategic work they do best
Forrester6 puts the problem faced by todayrsquos advertisers
concisely they must struggle to balance ldquobrand
storytelling audience-based targeting insights
from customer data personalization and customer
experiencerdquo all across far too many digital media
channels and devices And while marketers are racing
to adapt to this new era in media consumers are
already way ahead of them expecting previously
impossible levels of personalization from marketing
campaigns Without a way to efficiently leverage the
increasing amount of data they produce brands will
consistently fail to meet the rising standards of modern
internet users
Albert performs many of the tedious data-centric
tasks that have become far too central to the average
marketerrsquos role After being plugged into a brand
or agencyrsquos tech stack Albert is able to gather
information from across email display social and
search campaigns in order to optimize campaigns on
each channel autonomously executing on what he
learns without the need for much human intervention
6 Forrester (2016 February) TechRadartrade Marketing And Ad-vertising Technology Q1 2016 - Forrester httpswwwforrestercomreportTechRadar+Marketing+And+Advertising+Technolo-gy+Q1+2016-E-RES115810
With the help of his human operators Albert quickly
helps marketers to find valuable new keywords
maximize the effectiveness of creative material
before fatigue sets in and even identify entirely new
audiences Marketers are now able to achieve the
near 11 level personalization that had before been
impossible all while dedicating more time to drafting
the creative materials that Albert is optimizing
Thatrsquos not to say that marketers lose control of how
their campaigns are planned executed and
optimized Albert only operates within the parameters
set by his human users For example while Albert is
able to use his given budget for a campaign however
he sees fit he cannot exceed it The tool relies on
open collaboration between human and machine
with marketers trusting Albert to only make decisions
that help them reach the campaignrsquos stated goals
and Albert working within the limitations set for him by
those marketers
Like Sentrian Albert takes data from a disparate range
of formats and sources mdash eg Facebook Instagram
YouTube AdWords mdash and easily analyzes them a
task that typically takes entire staffs of data analysts
working around the clock to complete But Albert is
not only able to give recommendations based on
his analyses but base and MAKE decisions on them
completely independent of his operators The result
is increased and accelerated revenue smarter ad
spend investment more individualized customer
experiences and finally more satisfied consumers
As consumers become more and more demanding
Albert is a marketerrsquos best hope for investing the time
and money they need to satisfy them
8 New York | Tel Aviv | wwwalbertai | infoalbertai
Finance - NICE Actimize
Another industry where professionals are struggling
to deal with impossible volumes of data is finance
With so much of the worldrsquos wealth existing in digital
formats changing hands billions of times each
day banks are struggling to track financial crimes
like money laundering Itrsquos this kind of risk that can
partially explain why 30 of financial institutions
are planning on investing in AI in the coming years
according to a PwC report1 Companies like NICE
Actimize are seizing that opportunity by creating
smart platforms that can reliably protect banksrsquo
assets
ACTone NICE Actimizersquos financial crime investigation
platform uses AI-enabled RPA to automate many
of the routine tasks involved in rooting out potential
crime such as fetching data from other systems and
prepping cases Over time ACTonersquos AI gets better
and faster at detecting potential crimes completing
the tasks needed to investigate them and improving
the human operatorrsquos decision-making The platform
will cut the time of investigating a single report by up
to 70
ACTonersquos AI component allows it to recognize
the similarities between incidents as they occur
at different times and in different places making
the kinds of connections that human investigators
are often too overworked to make mdash or in many
7 Global FinTech Report 2017 (2017) Redrawing the lines FinTechrsquos growing influence on Financial Services - PwC httpswwwpwccomgxenindustriesfinancial-servicesassetspwc-global-fin-tech-report-2017pdf
cases are too subtle for the human eye to catch
Cybercrime tactics are getting increasingly
advanced and banks and finance institutions
are understandably worried that they arenrsquot
properly equipped to deal with this growing and
unpredictable threat ACTonersquos predictive analytics
provides them with a safeguard against that threat
leveraging AI to identify suspicious activity and stop it
at its source
But of course detection is only half the battle when
it comes to stopping financial crime mdash much of it
comes down to properly closing cases against the
perpetrators which takes a great deal of vigilance
and effort ACTonersquos Virtual Workforce feature greatly
reduces the burden placed on investigators by
deploying a team of bots to do many of the tedious
tasks involved in this kind of casework which frees the
human worker to focus their attention on performing
a more accurate investigation
There are few industries more concerned with risk
than finance and as our economy becomes more
and more digitized banks need better smarter
digital resources to mitigate that risk NICE Actimize
is at the forefront of this push to make the digital
economy more secure more predictable and safer
for both banks and consumers to use
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
2 New York | Tel Aviv | wwwalbertai | infoalbertai
Table of Contents
INTRODUCTIONSeparating AI Trendsetters from the Knockoffs
AUTOMOTIVEWaymo
ROBOTICS PROCESS AUTOMATIONAutomation Anywhere
MEDICALSentrian
MARKETINGAlberttrade
FINANCENICE Actimize
CONCLUSIONLooking Forward
ABOUT ALBERT
3
4
5
6
7
8
9
10
Introduction Separating AI Trendsetters from the Knockoffs
For a long time the main obstacle to AI adoption
across industries was the notion that the technology
just wasnrsquot ready for business deployment Artificial
intelligence seemed like a good idea but decision-
makers too often shrugged it off as not fully mature
at best and a science fiction-fueled pipe dream at
worst
Today however there are very few who donrsquot
recognize AIrsquos current impact on the economy
and even fewer who donrsquot expect that impact to
deepen in the future But now that AI is fashionable
the challenge for businesses is to separate real
trendsetters offering ldquoautonomousrdquo AI solutions mdash
software or equipment that uses artificial intelligence
to independently make decisions take actions
then report on those decisions and actions mdash from
imitators trying to profit from the trend Many of the
products being billed as AI or machine learning are
knockoffs that only offer automation mdash technology
that is unable to make any decisions that havenrsquot
already been prescribed by their human operators
These imitators arenrsquot likely to drive any real results
for their users and are therefore unlikely to play a
very big role in the development of AI as it transforms
our economy our jobs and our day-to-day life in
the coming years To get a clearer sense of that
future we looked for some of the most innovative
applications of autonomous AI across industries and
took a deeper dive into how their contributions will
likely shape their own sectors as well as the world at
large
All of the AI companies we spoke with are offering
something new and exciting to their respective
spaces automotive robotics marketing healthcare
manufacturing and finance Important factors like
government regulation will have a huge impact on
AIrsquos future direction but for the time being these
innovators offer us the best glimpse of a better more
efficient more autonomous future
4 New York | Tel Aviv | wwwalbertai | infoalbertai
Automotive - Waymo
Formerly known as the Google Car Project Waymo
has rapidly grown from a top-secret pet project in
2009 to its own subsidiary company in 2016 With the
possible exception of Cruise a General Motors-owned
competitor Waymo is virtually unchallenged as the
leader of the autonomous automobile space
While other would-be driverless automakers have tried
to force their car designs to accommodate AI Waymo
takes the opposite approach creating software that
easily integrates with contemporary car models
Waymo understood early on1 that an autonomous car
should disrupt its market not the experience of its end-
user Thatrsquos why the company is placing an emphasis
on collaboration with automakers like Chrysler Jaguar
Honda and semi-truck manufacturer Peterbilt The
company wants to create a single piece of software
that can be integrated with cars that people already
know and love rather than building a car of their own
But while Waymo is relying on its partners in the auto
industry to provide the vehicles themselves both the
hardware and software that make up its autonomous
ldquodriverrdquo are developed in-house2 The companyrsquos
cutting-edge AI technology relies on a range of
different sensors a light detection and ranging (LiDAR)
unit emits millions of laser beams a second to build a
picture of the cars surroundings that extends up to
300 yards in every direction
1 M Debord (2018 April) Waymo and GM are both developing self-driving tech that could change how we travel mdash but therersquos one big difference between the two - Business Insider httpwwwbusinessinsidercomhow-waymo-and-cruise-self-driving-car-strategy-differs-2018-4r=UKampIR=T
2 K Korosec (2017 January) 5 Things to Know About the Future of Googlersquos Self-Driving Car Company Way - PwC httpfortunecom20170108waymo-detroit-future
Radars are used to determine exactly how far away
objects are from the vehicle while high-resolution
cameras offer 360-degree views of your surroundings
to pick up on visual cues like traffic signals even if
theyrsquore in low or harsh lighting Whatrsquos more Waymo
has been steadily driving down the price of this
often expensive equipment eliminating what many
perceived to be an obstacle to widespread consumer
adoption of self-driving cars
Whatrsquos more interesting to us than all of this cutting-
edge equipment however is whatrsquos ldquobeneath the
hoodrdquo so to speak Waymorsquos AI system is informed not
only by all the hardware we just described but by hours
and hours of driving experience gained during test runs
Some of that comes from driving beta versions of the
product on real city streets but the bulk of it actually
comes from virtual simulations3 These simulations allow
the developers to test highly complex traffic situations
that would be rare and often dangerous to test in the
real world The eight million miles Waymo vehicles have
logged are all fed into its central AI allowing each of its
vehicles to learn from the collectiversquos experiences and
apply those learnings on the road
With both more hours of driving than any human
can remember and better sensory information than
any human can gather Waymorsquos deep learning
algorithms have everything they need to achieve
the companyrsquos mission of making driving safer for
everyone The question in the next coming years is not
if Waymo will dominate our roads but when
3 T Greene (2017 October) Waymo created its own driverrsquos ed course for AI - The Nexr Web httpsthenextwebcomartificial-intelli-gence20170911waymo-created-drivers-ed-course-ai
5New York | Tel Aviv | wwwalbertai | infoalbertai
Robotics Process Automation - Automation Anywhere
The advance of AI and other technologies is
expanding the possibilities of what can and cannot
be automated Automation is obviously appealing to
enterprises looking to increase their profit margins but
most of them need a solution that can be designed
to fit their specific processes without the need for any
advanced programming on their part That solution
appears to be Robotics Process Automation (RPA) and
the top player in that space is Automation Anywhere
RPA itself merely refers to the use of software to
automate routine tasks that humans typically find too
mundane and repetitive to do efficiently automatically
completing tasks like filling out invoices or making and
emailing meeting transcriptions to attendees Where
it gets really interesting is with the implementation
of AI which allows the robots to not just repeat the
movements prescribed by their programmers but learn
new and more efficient methods based on what they
observe This is where the potential of the technology
truly opens up and Automation Anywhere is one of the
few companies even beginning to scratch the surface
of that potential
The companyrsquos IQ bots do much of the heavy lifting
that previous work process automation technologies
have failed to take on Because other RPA platforms
donrsquot use cognitive technology they can only
automate rather than work autonomously That
means that any data that might inform how the bot
performs a certain job has to be hand-fed to the
platform by human users making their implementation
more difficult and reducing the potential benefits to
be gained from automation in the first place
Automation Anywhere applies its AI to the task of
structuring all the data that other RPA platforms might
miss from semi-structured data like contracts and
invoices to completely unstructured data like emails
instant messages and even video That makes it
possible for them to handle content-centric front-end
work like customer service but these capabilities are
more critical to back-office activities4 than many RPA
adopters think All the information it takes to complete
administrative tasks like cross-checking financial
documents and writing form letters may exist in
unstructured formats like scanned PDF files and invoices
While other players in the RPA space are struggling to
seamlessly automate processes with the technology
Automation Anywhere is realizing RPArsquos full potential
Forrester has dubbed Automation Anywhere5 a
leader in the RPA space and itrsquos easy to see why the
company is going the whole nine yards to make sure
their product integrates with any companyrsquos existing
processes mdash no matter their scale or industry
4 Everest Group Research (2017) Automating Content-Centric Processes with Artificial Intelligence (AI) - Automation Anywhere httpswwwautomationanywherecomimageslppdfever-est-group-automating-content-centric-processes-with-aipdf
5 Forrester (2017 Q3) The Forrester Wavetrade Enterprise BI Platforms With Majority Cloud Deployments Q3 2017 - GoodData httpsinfogooddatacomForrester-Wave-2017-Enterprise-Cloud-BI-Reg-wFormhtml
6 New York | Tel Aviv | wwwalbertai | infoalbertai
Medical - Sentrian
Yoursquove probably already heard plenty of lofty
prognostications about a future where doctors can
begin to anticipate and treat your illnesses before
you even feel their symptoms but Sentrian is the
company thatrsquos actually closest to making those
fantasies a reality Recognizing a crisis in American
healthcare where more people are living longer lives
and experiencing greater rates of chronic disease
the company is using biosensors and AI to stay two
steps ahead of illnesses so that patients can spend
their lives in the comfort of their homes
Sentrian bills itself as ldquothe first remote patient
intelligence companyrdquo and aims to use its AI to
analyze massive volumes of patient data in order
to more accurately predict when chronically ill
individuals will actually need to be hospitalized Care
providers often donrsquot have the necessary information
to determine which medical problems can be
reversed through a fairly moderate intervention
and when This leads to many unnecessary
hospitalizations excessive medical costs and a
drastic impact on the patientrsquos quality of life
Sentrian aims to fix these problems by bridging the
gap between primary care clinicians and patients
with chronic illness who are living at home As remote
biosensors become both more advanced and
more affordable the company plans to leverage
the massive amount of medical data they produce
by training their AI to do the work of a full-time
clinical team The AI is taking in massive amounts
of information from around the world not only from
biosensors but importantly from the information
reported by patients and doctors All this data is
enabling the AI to detect warning signs in patients
that would normally take a team of doctors to
identify
New technologies have traditionally faced huge
obstacles to adoption in healthcare because of how
strongly regulated the field is with IT professionals
often struggling to connect all the various platforms
that do manage to get FDA approval in ways that are
both efficient and compliant Thatrsquos why the Sentrian
platform is device-and gateway-agnostic which
means that as more devices become approved
and used they can immediately start feeding data
into the platformrsquos AI This will only serve to make its
decisions more informed as more data devices and
patients are plugged into it
Like with Automation Anywhere the Sentrian AIrsquos truly
autonomous quality is its ability to sort through not
only a tremendous amount of data but data with
an incredibly wide range of formats and purposes
The platform will be able to unite many different
data sets regarding the same patient (from various
doctors tests specialists etc) to derive coherent
insights while also using data from patients suffering
with similar conditions in different cities states or
even continents Sentrian could be a fix not just for
millions of patients dealing with chronic illness but
for healthcare systems across the globe as they deal
with a new generation of patients
7New York | Tel Aviv | wwwalbertai | infoalbertai
Marketing - Alberttrade
Of course wersquod be remiss to make a list of the top
performers in autonomous AI without mentioning
Albert the worldrsquos first completely autonomous
marketing platform built from the ground up using
AI As modern marketers struggle to manage ever-
growing volumes of consumer data coming from
campaigns run on an ever-expanding number of
channels Albert is freeing marketers to return to the
creative and strategic work they do best
Forrester6 puts the problem faced by todayrsquos advertisers
concisely they must struggle to balance ldquobrand
storytelling audience-based targeting insights
from customer data personalization and customer
experiencerdquo all across far too many digital media
channels and devices And while marketers are racing
to adapt to this new era in media consumers are
already way ahead of them expecting previously
impossible levels of personalization from marketing
campaigns Without a way to efficiently leverage the
increasing amount of data they produce brands will
consistently fail to meet the rising standards of modern
internet users
Albert performs many of the tedious data-centric
tasks that have become far too central to the average
marketerrsquos role After being plugged into a brand
or agencyrsquos tech stack Albert is able to gather
information from across email display social and
search campaigns in order to optimize campaigns on
each channel autonomously executing on what he
learns without the need for much human intervention
6 Forrester (2016 February) TechRadartrade Marketing And Ad-vertising Technology Q1 2016 - Forrester httpswwwforrestercomreportTechRadar+Marketing+And+Advertising+Technolo-gy+Q1+2016-E-RES115810
With the help of his human operators Albert quickly
helps marketers to find valuable new keywords
maximize the effectiveness of creative material
before fatigue sets in and even identify entirely new
audiences Marketers are now able to achieve the
near 11 level personalization that had before been
impossible all while dedicating more time to drafting
the creative materials that Albert is optimizing
Thatrsquos not to say that marketers lose control of how
their campaigns are planned executed and
optimized Albert only operates within the parameters
set by his human users For example while Albert is
able to use his given budget for a campaign however
he sees fit he cannot exceed it The tool relies on
open collaboration between human and machine
with marketers trusting Albert to only make decisions
that help them reach the campaignrsquos stated goals
and Albert working within the limitations set for him by
those marketers
Like Sentrian Albert takes data from a disparate range
of formats and sources mdash eg Facebook Instagram
YouTube AdWords mdash and easily analyzes them a
task that typically takes entire staffs of data analysts
working around the clock to complete But Albert is
not only able to give recommendations based on
his analyses but base and MAKE decisions on them
completely independent of his operators The result
is increased and accelerated revenue smarter ad
spend investment more individualized customer
experiences and finally more satisfied consumers
As consumers become more and more demanding
Albert is a marketerrsquos best hope for investing the time
and money they need to satisfy them
8 New York | Tel Aviv | wwwalbertai | infoalbertai
Finance - NICE Actimize
Another industry where professionals are struggling
to deal with impossible volumes of data is finance
With so much of the worldrsquos wealth existing in digital
formats changing hands billions of times each
day banks are struggling to track financial crimes
like money laundering Itrsquos this kind of risk that can
partially explain why 30 of financial institutions
are planning on investing in AI in the coming years
according to a PwC report1 Companies like NICE
Actimize are seizing that opportunity by creating
smart platforms that can reliably protect banksrsquo
assets
ACTone NICE Actimizersquos financial crime investigation
platform uses AI-enabled RPA to automate many
of the routine tasks involved in rooting out potential
crime such as fetching data from other systems and
prepping cases Over time ACTonersquos AI gets better
and faster at detecting potential crimes completing
the tasks needed to investigate them and improving
the human operatorrsquos decision-making The platform
will cut the time of investigating a single report by up
to 70
ACTonersquos AI component allows it to recognize
the similarities between incidents as they occur
at different times and in different places making
the kinds of connections that human investigators
are often too overworked to make mdash or in many
7 Global FinTech Report 2017 (2017) Redrawing the lines FinTechrsquos growing influence on Financial Services - PwC httpswwwpwccomgxenindustriesfinancial-servicesassetspwc-global-fin-tech-report-2017pdf
cases are too subtle for the human eye to catch
Cybercrime tactics are getting increasingly
advanced and banks and finance institutions
are understandably worried that they arenrsquot
properly equipped to deal with this growing and
unpredictable threat ACTonersquos predictive analytics
provides them with a safeguard against that threat
leveraging AI to identify suspicious activity and stop it
at its source
But of course detection is only half the battle when
it comes to stopping financial crime mdash much of it
comes down to properly closing cases against the
perpetrators which takes a great deal of vigilance
and effort ACTonersquos Virtual Workforce feature greatly
reduces the burden placed on investigators by
deploying a team of bots to do many of the tedious
tasks involved in this kind of casework which frees the
human worker to focus their attention on performing
a more accurate investigation
There are few industries more concerned with risk
than finance and as our economy becomes more
and more digitized banks need better smarter
digital resources to mitigate that risk NICE Actimize
is at the forefront of this push to make the digital
economy more secure more predictable and safer
for both banks and consumers to use
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
Introduction Separating AI Trendsetters from the Knockoffs
For a long time the main obstacle to AI adoption
across industries was the notion that the technology
just wasnrsquot ready for business deployment Artificial
intelligence seemed like a good idea but decision-
makers too often shrugged it off as not fully mature
at best and a science fiction-fueled pipe dream at
worst
Today however there are very few who donrsquot
recognize AIrsquos current impact on the economy
and even fewer who donrsquot expect that impact to
deepen in the future But now that AI is fashionable
the challenge for businesses is to separate real
trendsetters offering ldquoautonomousrdquo AI solutions mdash
software or equipment that uses artificial intelligence
to independently make decisions take actions
then report on those decisions and actions mdash from
imitators trying to profit from the trend Many of the
products being billed as AI or machine learning are
knockoffs that only offer automation mdash technology
that is unable to make any decisions that havenrsquot
already been prescribed by their human operators
These imitators arenrsquot likely to drive any real results
for their users and are therefore unlikely to play a
very big role in the development of AI as it transforms
our economy our jobs and our day-to-day life in
the coming years To get a clearer sense of that
future we looked for some of the most innovative
applications of autonomous AI across industries and
took a deeper dive into how their contributions will
likely shape their own sectors as well as the world at
large
All of the AI companies we spoke with are offering
something new and exciting to their respective
spaces automotive robotics marketing healthcare
manufacturing and finance Important factors like
government regulation will have a huge impact on
AIrsquos future direction but for the time being these
innovators offer us the best glimpse of a better more
efficient more autonomous future
4 New York | Tel Aviv | wwwalbertai | infoalbertai
Automotive - Waymo
Formerly known as the Google Car Project Waymo
has rapidly grown from a top-secret pet project in
2009 to its own subsidiary company in 2016 With the
possible exception of Cruise a General Motors-owned
competitor Waymo is virtually unchallenged as the
leader of the autonomous automobile space
While other would-be driverless automakers have tried
to force their car designs to accommodate AI Waymo
takes the opposite approach creating software that
easily integrates with contemporary car models
Waymo understood early on1 that an autonomous car
should disrupt its market not the experience of its end-
user Thatrsquos why the company is placing an emphasis
on collaboration with automakers like Chrysler Jaguar
Honda and semi-truck manufacturer Peterbilt The
company wants to create a single piece of software
that can be integrated with cars that people already
know and love rather than building a car of their own
But while Waymo is relying on its partners in the auto
industry to provide the vehicles themselves both the
hardware and software that make up its autonomous
ldquodriverrdquo are developed in-house2 The companyrsquos
cutting-edge AI technology relies on a range of
different sensors a light detection and ranging (LiDAR)
unit emits millions of laser beams a second to build a
picture of the cars surroundings that extends up to
300 yards in every direction
1 M Debord (2018 April) Waymo and GM are both developing self-driving tech that could change how we travel mdash but therersquos one big difference between the two - Business Insider httpwwwbusinessinsidercomhow-waymo-and-cruise-self-driving-car-strategy-differs-2018-4r=UKampIR=T
2 K Korosec (2017 January) 5 Things to Know About the Future of Googlersquos Self-Driving Car Company Way - PwC httpfortunecom20170108waymo-detroit-future
Radars are used to determine exactly how far away
objects are from the vehicle while high-resolution
cameras offer 360-degree views of your surroundings
to pick up on visual cues like traffic signals even if
theyrsquore in low or harsh lighting Whatrsquos more Waymo
has been steadily driving down the price of this
often expensive equipment eliminating what many
perceived to be an obstacle to widespread consumer
adoption of self-driving cars
Whatrsquos more interesting to us than all of this cutting-
edge equipment however is whatrsquos ldquobeneath the
hoodrdquo so to speak Waymorsquos AI system is informed not
only by all the hardware we just described but by hours
and hours of driving experience gained during test runs
Some of that comes from driving beta versions of the
product on real city streets but the bulk of it actually
comes from virtual simulations3 These simulations allow
the developers to test highly complex traffic situations
that would be rare and often dangerous to test in the
real world The eight million miles Waymo vehicles have
logged are all fed into its central AI allowing each of its
vehicles to learn from the collectiversquos experiences and
apply those learnings on the road
With both more hours of driving than any human
can remember and better sensory information than
any human can gather Waymorsquos deep learning
algorithms have everything they need to achieve
the companyrsquos mission of making driving safer for
everyone The question in the next coming years is not
if Waymo will dominate our roads but when
3 T Greene (2017 October) Waymo created its own driverrsquos ed course for AI - The Nexr Web httpsthenextwebcomartificial-intelli-gence20170911waymo-created-drivers-ed-course-ai
5New York | Tel Aviv | wwwalbertai | infoalbertai
Robotics Process Automation - Automation Anywhere
The advance of AI and other technologies is
expanding the possibilities of what can and cannot
be automated Automation is obviously appealing to
enterprises looking to increase their profit margins but
most of them need a solution that can be designed
to fit their specific processes without the need for any
advanced programming on their part That solution
appears to be Robotics Process Automation (RPA) and
the top player in that space is Automation Anywhere
RPA itself merely refers to the use of software to
automate routine tasks that humans typically find too
mundane and repetitive to do efficiently automatically
completing tasks like filling out invoices or making and
emailing meeting transcriptions to attendees Where
it gets really interesting is with the implementation
of AI which allows the robots to not just repeat the
movements prescribed by their programmers but learn
new and more efficient methods based on what they
observe This is where the potential of the technology
truly opens up and Automation Anywhere is one of the
few companies even beginning to scratch the surface
of that potential
The companyrsquos IQ bots do much of the heavy lifting
that previous work process automation technologies
have failed to take on Because other RPA platforms
donrsquot use cognitive technology they can only
automate rather than work autonomously That
means that any data that might inform how the bot
performs a certain job has to be hand-fed to the
platform by human users making their implementation
more difficult and reducing the potential benefits to
be gained from automation in the first place
Automation Anywhere applies its AI to the task of
structuring all the data that other RPA platforms might
miss from semi-structured data like contracts and
invoices to completely unstructured data like emails
instant messages and even video That makes it
possible for them to handle content-centric front-end
work like customer service but these capabilities are
more critical to back-office activities4 than many RPA
adopters think All the information it takes to complete
administrative tasks like cross-checking financial
documents and writing form letters may exist in
unstructured formats like scanned PDF files and invoices
While other players in the RPA space are struggling to
seamlessly automate processes with the technology
Automation Anywhere is realizing RPArsquos full potential
Forrester has dubbed Automation Anywhere5 a
leader in the RPA space and itrsquos easy to see why the
company is going the whole nine yards to make sure
their product integrates with any companyrsquos existing
processes mdash no matter their scale or industry
4 Everest Group Research (2017) Automating Content-Centric Processes with Artificial Intelligence (AI) - Automation Anywhere httpswwwautomationanywherecomimageslppdfever-est-group-automating-content-centric-processes-with-aipdf
5 Forrester (2017 Q3) The Forrester Wavetrade Enterprise BI Platforms With Majority Cloud Deployments Q3 2017 - GoodData httpsinfogooddatacomForrester-Wave-2017-Enterprise-Cloud-BI-Reg-wFormhtml
6 New York | Tel Aviv | wwwalbertai | infoalbertai
Medical - Sentrian
Yoursquove probably already heard plenty of lofty
prognostications about a future where doctors can
begin to anticipate and treat your illnesses before
you even feel their symptoms but Sentrian is the
company thatrsquos actually closest to making those
fantasies a reality Recognizing a crisis in American
healthcare where more people are living longer lives
and experiencing greater rates of chronic disease
the company is using biosensors and AI to stay two
steps ahead of illnesses so that patients can spend
their lives in the comfort of their homes
Sentrian bills itself as ldquothe first remote patient
intelligence companyrdquo and aims to use its AI to
analyze massive volumes of patient data in order
to more accurately predict when chronically ill
individuals will actually need to be hospitalized Care
providers often donrsquot have the necessary information
to determine which medical problems can be
reversed through a fairly moderate intervention
and when This leads to many unnecessary
hospitalizations excessive medical costs and a
drastic impact on the patientrsquos quality of life
Sentrian aims to fix these problems by bridging the
gap between primary care clinicians and patients
with chronic illness who are living at home As remote
biosensors become both more advanced and
more affordable the company plans to leverage
the massive amount of medical data they produce
by training their AI to do the work of a full-time
clinical team The AI is taking in massive amounts
of information from around the world not only from
biosensors but importantly from the information
reported by patients and doctors All this data is
enabling the AI to detect warning signs in patients
that would normally take a team of doctors to
identify
New technologies have traditionally faced huge
obstacles to adoption in healthcare because of how
strongly regulated the field is with IT professionals
often struggling to connect all the various platforms
that do manage to get FDA approval in ways that are
both efficient and compliant Thatrsquos why the Sentrian
platform is device-and gateway-agnostic which
means that as more devices become approved
and used they can immediately start feeding data
into the platformrsquos AI This will only serve to make its
decisions more informed as more data devices and
patients are plugged into it
Like with Automation Anywhere the Sentrian AIrsquos truly
autonomous quality is its ability to sort through not
only a tremendous amount of data but data with
an incredibly wide range of formats and purposes
The platform will be able to unite many different
data sets regarding the same patient (from various
doctors tests specialists etc) to derive coherent
insights while also using data from patients suffering
with similar conditions in different cities states or
even continents Sentrian could be a fix not just for
millions of patients dealing with chronic illness but
for healthcare systems across the globe as they deal
with a new generation of patients
7New York | Tel Aviv | wwwalbertai | infoalbertai
Marketing - Alberttrade
Of course wersquod be remiss to make a list of the top
performers in autonomous AI without mentioning
Albert the worldrsquos first completely autonomous
marketing platform built from the ground up using
AI As modern marketers struggle to manage ever-
growing volumes of consumer data coming from
campaigns run on an ever-expanding number of
channels Albert is freeing marketers to return to the
creative and strategic work they do best
Forrester6 puts the problem faced by todayrsquos advertisers
concisely they must struggle to balance ldquobrand
storytelling audience-based targeting insights
from customer data personalization and customer
experiencerdquo all across far too many digital media
channels and devices And while marketers are racing
to adapt to this new era in media consumers are
already way ahead of them expecting previously
impossible levels of personalization from marketing
campaigns Without a way to efficiently leverage the
increasing amount of data they produce brands will
consistently fail to meet the rising standards of modern
internet users
Albert performs many of the tedious data-centric
tasks that have become far too central to the average
marketerrsquos role After being plugged into a brand
or agencyrsquos tech stack Albert is able to gather
information from across email display social and
search campaigns in order to optimize campaigns on
each channel autonomously executing on what he
learns without the need for much human intervention
6 Forrester (2016 February) TechRadartrade Marketing And Ad-vertising Technology Q1 2016 - Forrester httpswwwforrestercomreportTechRadar+Marketing+And+Advertising+Technolo-gy+Q1+2016-E-RES115810
With the help of his human operators Albert quickly
helps marketers to find valuable new keywords
maximize the effectiveness of creative material
before fatigue sets in and even identify entirely new
audiences Marketers are now able to achieve the
near 11 level personalization that had before been
impossible all while dedicating more time to drafting
the creative materials that Albert is optimizing
Thatrsquos not to say that marketers lose control of how
their campaigns are planned executed and
optimized Albert only operates within the parameters
set by his human users For example while Albert is
able to use his given budget for a campaign however
he sees fit he cannot exceed it The tool relies on
open collaboration between human and machine
with marketers trusting Albert to only make decisions
that help them reach the campaignrsquos stated goals
and Albert working within the limitations set for him by
those marketers
Like Sentrian Albert takes data from a disparate range
of formats and sources mdash eg Facebook Instagram
YouTube AdWords mdash and easily analyzes them a
task that typically takes entire staffs of data analysts
working around the clock to complete But Albert is
not only able to give recommendations based on
his analyses but base and MAKE decisions on them
completely independent of his operators The result
is increased and accelerated revenue smarter ad
spend investment more individualized customer
experiences and finally more satisfied consumers
As consumers become more and more demanding
Albert is a marketerrsquos best hope for investing the time
and money they need to satisfy them
8 New York | Tel Aviv | wwwalbertai | infoalbertai
Finance - NICE Actimize
Another industry where professionals are struggling
to deal with impossible volumes of data is finance
With so much of the worldrsquos wealth existing in digital
formats changing hands billions of times each
day banks are struggling to track financial crimes
like money laundering Itrsquos this kind of risk that can
partially explain why 30 of financial institutions
are planning on investing in AI in the coming years
according to a PwC report1 Companies like NICE
Actimize are seizing that opportunity by creating
smart platforms that can reliably protect banksrsquo
assets
ACTone NICE Actimizersquos financial crime investigation
platform uses AI-enabled RPA to automate many
of the routine tasks involved in rooting out potential
crime such as fetching data from other systems and
prepping cases Over time ACTonersquos AI gets better
and faster at detecting potential crimes completing
the tasks needed to investigate them and improving
the human operatorrsquos decision-making The platform
will cut the time of investigating a single report by up
to 70
ACTonersquos AI component allows it to recognize
the similarities between incidents as they occur
at different times and in different places making
the kinds of connections that human investigators
are often too overworked to make mdash or in many
7 Global FinTech Report 2017 (2017) Redrawing the lines FinTechrsquos growing influence on Financial Services - PwC httpswwwpwccomgxenindustriesfinancial-servicesassetspwc-global-fin-tech-report-2017pdf
cases are too subtle for the human eye to catch
Cybercrime tactics are getting increasingly
advanced and banks and finance institutions
are understandably worried that they arenrsquot
properly equipped to deal with this growing and
unpredictable threat ACTonersquos predictive analytics
provides them with a safeguard against that threat
leveraging AI to identify suspicious activity and stop it
at its source
But of course detection is only half the battle when
it comes to stopping financial crime mdash much of it
comes down to properly closing cases against the
perpetrators which takes a great deal of vigilance
and effort ACTonersquos Virtual Workforce feature greatly
reduces the burden placed on investigators by
deploying a team of bots to do many of the tedious
tasks involved in this kind of casework which frees the
human worker to focus their attention on performing
a more accurate investigation
There are few industries more concerned with risk
than finance and as our economy becomes more
and more digitized banks need better smarter
digital resources to mitigate that risk NICE Actimize
is at the forefront of this push to make the digital
economy more secure more predictable and safer
for both banks and consumers to use
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
4 New York | Tel Aviv | wwwalbertai | infoalbertai
Automotive - Waymo
Formerly known as the Google Car Project Waymo
has rapidly grown from a top-secret pet project in
2009 to its own subsidiary company in 2016 With the
possible exception of Cruise a General Motors-owned
competitor Waymo is virtually unchallenged as the
leader of the autonomous automobile space
While other would-be driverless automakers have tried
to force their car designs to accommodate AI Waymo
takes the opposite approach creating software that
easily integrates with contemporary car models
Waymo understood early on1 that an autonomous car
should disrupt its market not the experience of its end-
user Thatrsquos why the company is placing an emphasis
on collaboration with automakers like Chrysler Jaguar
Honda and semi-truck manufacturer Peterbilt The
company wants to create a single piece of software
that can be integrated with cars that people already
know and love rather than building a car of their own
But while Waymo is relying on its partners in the auto
industry to provide the vehicles themselves both the
hardware and software that make up its autonomous
ldquodriverrdquo are developed in-house2 The companyrsquos
cutting-edge AI technology relies on a range of
different sensors a light detection and ranging (LiDAR)
unit emits millions of laser beams a second to build a
picture of the cars surroundings that extends up to
300 yards in every direction
1 M Debord (2018 April) Waymo and GM are both developing self-driving tech that could change how we travel mdash but therersquos one big difference between the two - Business Insider httpwwwbusinessinsidercomhow-waymo-and-cruise-self-driving-car-strategy-differs-2018-4r=UKampIR=T
2 K Korosec (2017 January) 5 Things to Know About the Future of Googlersquos Self-Driving Car Company Way - PwC httpfortunecom20170108waymo-detroit-future
Radars are used to determine exactly how far away
objects are from the vehicle while high-resolution
cameras offer 360-degree views of your surroundings
to pick up on visual cues like traffic signals even if
theyrsquore in low or harsh lighting Whatrsquos more Waymo
has been steadily driving down the price of this
often expensive equipment eliminating what many
perceived to be an obstacle to widespread consumer
adoption of self-driving cars
Whatrsquos more interesting to us than all of this cutting-
edge equipment however is whatrsquos ldquobeneath the
hoodrdquo so to speak Waymorsquos AI system is informed not
only by all the hardware we just described but by hours
and hours of driving experience gained during test runs
Some of that comes from driving beta versions of the
product on real city streets but the bulk of it actually
comes from virtual simulations3 These simulations allow
the developers to test highly complex traffic situations
that would be rare and often dangerous to test in the
real world The eight million miles Waymo vehicles have
logged are all fed into its central AI allowing each of its
vehicles to learn from the collectiversquos experiences and
apply those learnings on the road
With both more hours of driving than any human
can remember and better sensory information than
any human can gather Waymorsquos deep learning
algorithms have everything they need to achieve
the companyrsquos mission of making driving safer for
everyone The question in the next coming years is not
if Waymo will dominate our roads but when
3 T Greene (2017 October) Waymo created its own driverrsquos ed course for AI - The Nexr Web httpsthenextwebcomartificial-intelli-gence20170911waymo-created-drivers-ed-course-ai
5New York | Tel Aviv | wwwalbertai | infoalbertai
Robotics Process Automation - Automation Anywhere
The advance of AI and other technologies is
expanding the possibilities of what can and cannot
be automated Automation is obviously appealing to
enterprises looking to increase their profit margins but
most of them need a solution that can be designed
to fit their specific processes without the need for any
advanced programming on their part That solution
appears to be Robotics Process Automation (RPA) and
the top player in that space is Automation Anywhere
RPA itself merely refers to the use of software to
automate routine tasks that humans typically find too
mundane and repetitive to do efficiently automatically
completing tasks like filling out invoices or making and
emailing meeting transcriptions to attendees Where
it gets really interesting is with the implementation
of AI which allows the robots to not just repeat the
movements prescribed by their programmers but learn
new and more efficient methods based on what they
observe This is where the potential of the technology
truly opens up and Automation Anywhere is one of the
few companies even beginning to scratch the surface
of that potential
The companyrsquos IQ bots do much of the heavy lifting
that previous work process automation technologies
have failed to take on Because other RPA platforms
donrsquot use cognitive technology they can only
automate rather than work autonomously That
means that any data that might inform how the bot
performs a certain job has to be hand-fed to the
platform by human users making their implementation
more difficult and reducing the potential benefits to
be gained from automation in the first place
Automation Anywhere applies its AI to the task of
structuring all the data that other RPA platforms might
miss from semi-structured data like contracts and
invoices to completely unstructured data like emails
instant messages and even video That makes it
possible for them to handle content-centric front-end
work like customer service but these capabilities are
more critical to back-office activities4 than many RPA
adopters think All the information it takes to complete
administrative tasks like cross-checking financial
documents and writing form letters may exist in
unstructured formats like scanned PDF files and invoices
While other players in the RPA space are struggling to
seamlessly automate processes with the technology
Automation Anywhere is realizing RPArsquos full potential
Forrester has dubbed Automation Anywhere5 a
leader in the RPA space and itrsquos easy to see why the
company is going the whole nine yards to make sure
their product integrates with any companyrsquos existing
processes mdash no matter their scale or industry
4 Everest Group Research (2017) Automating Content-Centric Processes with Artificial Intelligence (AI) - Automation Anywhere httpswwwautomationanywherecomimageslppdfever-est-group-automating-content-centric-processes-with-aipdf
5 Forrester (2017 Q3) The Forrester Wavetrade Enterprise BI Platforms With Majority Cloud Deployments Q3 2017 - GoodData httpsinfogooddatacomForrester-Wave-2017-Enterprise-Cloud-BI-Reg-wFormhtml
6 New York | Tel Aviv | wwwalbertai | infoalbertai
Medical - Sentrian
Yoursquove probably already heard plenty of lofty
prognostications about a future where doctors can
begin to anticipate and treat your illnesses before
you even feel their symptoms but Sentrian is the
company thatrsquos actually closest to making those
fantasies a reality Recognizing a crisis in American
healthcare where more people are living longer lives
and experiencing greater rates of chronic disease
the company is using biosensors and AI to stay two
steps ahead of illnesses so that patients can spend
their lives in the comfort of their homes
Sentrian bills itself as ldquothe first remote patient
intelligence companyrdquo and aims to use its AI to
analyze massive volumes of patient data in order
to more accurately predict when chronically ill
individuals will actually need to be hospitalized Care
providers often donrsquot have the necessary information
to determine which medical problems can be
reversed through a fairly moderate intervention
and when This leads to many unnecessary
hospitalizations excessive medical costs and a
drastic impact on the patientrsquos quality of life
Sentrian aims to fix these problems by bridging the
gap between primary care clinicians and patients
with chronic illness who are living at home As remote
biosensors become both more advanced and
more affordable the company plans to leverage
the massive amount of medical data they produce
by training their AI to do the work of a full-time
clinical team The AI is taking in massive amounts
of information from around the world not only from
biosensors but importantly from the information
reported by patients and doctors All this data is
enabling the AI to detect warning signs in patients
that would normally take a team of doctors to
identify
New technologies have traditionally faced huge
obstacles to adoption in healthcare because of how
strongly regulated the field is with IT professionals
often struggling to connect all the various platforms
that do manage to get FDA approval in ways that are
both efficient and compliant Thatrsquos why the Sentrian
platform is device-and gateway-agnostic which
means that as more devices become approved
and used they can immediately start feeding data
into the platformrsquos AI This will only serve to make its
decisions more informed as more data devices and
patients are plugged into it
Like with Automation Anywhere the Sentrian AIrsquos truly
autonomous quality is its ability to sort through not
only a tremendous amount of data but data with
an incredibly wide range of formats and purposes
The platform will be able to unite many different
data sets regarding the same patient (from various
doctors tests specialists etc) to derive coherent
insights while also using data from patients suffering
with similar conditions in different cities states or
even continents Sentrian could be a fix not just for
millions of patients dealing with chronic illness but
for healthcare systems across the globe as they deal
with a new generation of patients
7New York | Tel Aviv | wwwalbertai | infoalbertai
Marketing - Alberttrade
Of course wersquod be remiss to make a list of the top
performers in autonomous AI without mentioning
Albert the worldrsquos first completely autonomous
marketing platform built from the ground up using
AI As modern marketers struggle to manage ever-
growing volumes of consumer data coming from
campaigns run on an ever-expanding number of
channels Albert is freeing marketers to return to the
creative and strategic work they do best
Forrester6 puts the problem faced by todayrsquos advertisers
concisely they must struggle to balance ldquobrand
storytelling audience-based targeting insights
from customer data personalization and customer
experiencerdquo all across far too many digital media
channels and devices And while marketers are racing
to adapt to this new era in media consumers are
already way ahead of them expecting previously
impossible levels of personalization from marketing
campaigns Without a way to efficiently leverage the
increasing amount of data they produce brands will
consistently fail to meet the rising standards of modern
internet users
Albert performs many of the tedious data-centric
tasks that have become far too central to the average
marketerrsquos role After being plugged into a brand
or agencyrsquos tech stack Albert is able to gather
information from across email display social and
search campaigns in order to optimize campaigns on
each channel autonomously executing on what he
learns without the need for much human intervention
6 Forrester (2016 February) TechRadartrade Marketing And Ad-vertising Technology Q1 2016 - Forrester httpswwwforrestercomreportTechRadar+Marketing+And+Advertising+Technolo-gy+Q1+2016-E-RES115810
With the help of his human operators Albert quickly
helps marketers to find valuable new keywords
maximize the effectiveness of creative material
before fatigue sets in and even identify entirely new
audiences Marketers are now able to achieve the
near 11 level personalization that had before been
impossible all while dedicating more time to drafting
the creative materials that Albert is optimizing
Thatrsquos not to say that marketers lose control of how
their campaigns are planned executed and
optimized Albert only operates within the parameters
set by his human users For example while Albert is
able to use his given budget for a campaign however
he sees fit he cannot exceed it The tool relies on
open collaboration between human and machine
with marketers trusting Albert to only make decisions
that help them reach the campaignrsquos stated goals
and Albert working within the limitations set for him by
those marketers
Like Sentrian Albert takes data from a disparate range
of formats and sources mdash eg Facebook Instagram
YouTube AdWords mdash and easily analyzes them a
task that typically takes entire staffs of data analysts
working around the clock to complete But Albert is
not only able to give recommendations based on
his analyses but base and MAKE decisions on them
completely independent of his operators The result
is increased and accelerated revenue smarter ad
spend investment more individualized customer
experiences and finally more satisfied consumers
As consumers become more and more demanding
Albert is a marketerrsquos best hope for investing the time
and money they need to satisfy them
8 New York | Tel Aviv | wwwalbertai | infoalbertai
Finance - NICE Actimize
Another industry where professionals are struggling
to deal with impossible volumes of data is finance
With so much of the worldrsquos wealth existing in digital
formats changing hands billions of times each
day banks are struggling to track financial crimes
like money laundering Itrsquos this kind of risk that can
partially explain why 30 of financial institutions
are planning on investing in AI in the coming years
according to a PwC report1 Companies like NICE
Actimize are seizing that opportunity by creating
smart platforms that can reliably protect banksrsquo
assets
ACTone NICE Actimizersquos financial crime investigation
platform uses AI-enabled RPA to automate many
of the routine tasks involved in rooting out potential
crime such as fetching data from other systems and
prepping cases Over time ACTonersquos AI gets better
and faster at detecting potential crimes completing
the tasks needed to investigate them and improving
the human operatorrsquos decision-making The platform
will cut the time of investigating a single report by up
to 70
ACTonersquos AI component allows it to recognize
the similarities between incidents as they occur
at different times and in different places making
the kinds of connections that human investigators
are often too overworked to make mdash or in many
7 Global FinTech Report 2017 (2017) Redrawing the lines FinTechrsquos growing influence on Financial Services - PwC httpswwwpwccomgxenindustriesfinancial-servicesassetspwc-global-fin-tech-report-2017pdf
cases are too subtle for the human eye to catch
Cybercrime tactics are getting increasingly
advanced and banks and finance institutions
are understandably worried that they arenrsquot
properly equipped to deal with this growing and
unpredictable threat ACTonersquos predictive analytics
provides them with a safeguard against that threat
leveraging AI to identify suspicious activity and stop it
at its source
But of course detection is only half the battle when
it comes to stopping financial crime mdash much of it
comes down to properly closing cases against the
perpetrators which takes a great deal of vigilance
and effort ACTonersquos Virtual Workforce feature greatly
reduces the burden placed on investigators by
deploying a team of bots to do many of the tedious
tasks involved in this kind of casework which frees the
human worker to focus their attention on performing
a more accurate investigation
There are few industries more concerned with risk
than finance and as our economy becomes more
and more digitized banks need better smarter
digital resources to mitigate that risk NICE Actimize
is at the forefront of this push to make the digital
economy more secure more predictable and safer
for both banks and consumers to use
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
5New York | Tel Aviv | wwwalbertai | infoalbertai
Robotics Process Automation - Automation Anywhere
The advance of AI and other technologies is
expanding the possibilities of what can and cannot
be automated Automation is obviously appealing to
enterprises looking to increase their profit margins but
most of them need a solution that can be designed
to fit their specific processes without the need for any
advanced programming on their part That solution
appears to be Robotics Process Automation (RPA) and
the top player in that space is Automation Anywhere
RPA itself merely refers to the use of software to
automate routine tasks that humans typically find too
mundane and repetitive to do efficiently automatically
completing tasks like filling out invoices or making and
emailing meeting transcriptions to attendees Where
it gets really interesting is with the implementation
of AI which allows the robots to not just repeat the
movements prescribed by their programmers but learn
new and more efficient methods based on what they
observe This is where the potential of the technology
truly opens up and Automation Anywhere is one of the
few companies even beginning to scratch the surface
of that potential
The companyrsquos IQ bots do much of the heavy lifting
that previous work process automation technologies
have failed to take on Because other RPA platforms
donrsquot use cognitive technology they can only
automate rather than work autonomously That
means that any data that might inform how the bot
performs a certain job has to be hand-fed to the
platform by human users making their implementation
more difficult and reducing the potential benefits to
be gained from automation in the first place
Automation Anywhere applies its AI to the task of
structuring all the data that other RPA platforms might
miss from semi-structured data like contracts and
invoices to completely unstructured data like emails
instant messages and even video That makes it
possible for them to handle content-centric front-end
work like customer service but these capabilities are
more critical to back-office activities4 than many RPA
adopters think All the information it takes to complete
administrative tasks like cross-checking financial
documents and writing form letters may exist in
unstructured formats like scanned PDF files and invoices
While other players in the RPA space are struggling to
seamlessly automate processes with the technology
Automation Anywhere is realizing RPArsquos full potential
Forrester has dubbed Automation Anywhere5 a
leader in the RPA space and itrsquos easy to see why the
company is going the whole nine yards to make sure
their product integrates with any companyrsquos existing
processes mdash no matter their scale or industry
4 Everest Group Research (2017) Automating Content-Centric Processes with Artificial Intelligence (AI) - Automation Anywhere httpswwwautomationanywherecomimageslppdfever-est-group-automating-content-centric-processes-with-aipdf
5 Forrester (2017 Q3) The Forrester Wavetrade Enterprise BI Platforms With Majority Cloud Deployments Q3 2017 - GoodData httpsinfogooddatacomForrester-Wave-2017-Enterprise-Cloud-BI-Reg-wFormhtml
6 New York | Tel Aviv | wwwalbertai | infoalbertai
Medical - Sentrian
Yoursquove probably already heard plenty of lofty
prognostications about a future where doctors can
begin to anticipate and treat your illnesses before
you even feel their symptoms but Sentrian is the
company thatrsquos actually closest to making those
fantasies a reality Recognizing a crisis in American
healthcare where more people are living longer lives
and experiencing greater rates of chronic disease
the company is using biosensors and AI to stay two
steps ahead of illnesses so that patients can spend
their lives in the comfort of their homes
Sentrian bills itself as ldquothe first remote patient
intelligence companyrdquo and aims to use its AI to
analyze massive volumes of patient data in order
to more accurately predict when chronically ill
individuals will actually need to be hospitalized Care
providers often donrsquot have the necessary information
to determine which medical problems can be
reversed through a fairly moderate intervention
and when This leads to many unnecessary
hospitalizations excessive medical costs and a
drastic impact on the patientrsquos quality of life
Sentrian aims to fix these problems by bridging the
gap between primary care clinicians and patients
with chronic illness who are living at home As remote
biosensors become both more advanced and
more affordable the company plans to leverage
the massive amount of medical data they produce
by training their AI to do the work of a full-time
clinical team The AI is taking in massive amounts
of information from around the world not only from
biosensors but importantly from the information
reported by patients and doctors All this data is
enabling the AI to detect warning signs in patients
that would normally take a team of doctors to
identify
New technologies have traditionally faced huge
obstacles to adoption in healthcare because of how
strongly regulated the field is with IT professionals
often struggling to connect all the various platforms
that do manage to get FDA approval in ways that are
both efficient and compliant Thatrsquos why the Sentrian
platform is device-and gateway-agnostic which
means that as more devices become approved
and used they can immediately start feeding data
into the platformrsquos AI This will only serve to make its
decisions more informed as more data devices and
patients are plugged into it
Like with Automation Anywhere the Sentrian AIrsquos truly
autonomous quality is its ability to sort through not
only a tremendous amount of data but data with
an incredibly wide range of formats and purposes
The platform will be able to unite many different
data sets regarding the same patient (from various
doctors tests specialists etc) to derive coherent
insights while also using data from patients suffering
with similar conditions in different cities states or
even continents Sentrian could be a fix not just for
millions of patients dealing with chronic illness but
for healthcare systems across the globe as they deal
with a new generation of patients
7New York | Tel Aviv | wwwalbertai | infoalbertai
Marketing - Alberttrade
Of course wersquod be remiss to make a list of the top
performers in autonomous AI without mentioning
Albert the worldrsquos first completely autonomous
marketing platform built from the ground up using
AI As modern marketers struggle to manage ever-
growing volumes of consumer data coming from
campaigns run on an ever-expanding number of
channels Albert is freeing marketers to return to the
creative and strategic work they do best
Forrester6 puts the problem faced by todayrsquos advertisers
concisely they must struggle to balance ldquobrand
storytelling audience-based targeting insights
from customer data personalization and customer
experiencerdquo all across far too many digital media
channels and devices And while marketers are racing
to adapt to this new era in media consumers are
already way ahead of them expecting previously
impossible levels of personalization from marketing
campaigns Without a way to efficiently leverage the
increasing amount of data they produce brands will
consistently fail to meet the rising standards of modern
internet users
Albert performs many of the tedious data-centric
tasks that have become far too central to the average
marketerrsquos role After being plugged into a brand
or agencyrsquos tech stack Albert is able to gather
information from across email display social and
search campaigns in order to optimize campaigns on
each channel autonomously executing on what he
learns without the need for much human intervention
6 Forrester (2016 February) TechRadartrade Marketing And Ad-vertising Technology Q1 2016 - Forrester httpswwwforrestercomreportTechRadar+Marketing+And+Advertising+Technolo-gy+Q1+2016-E-RES115810
With the help of his human operators Albert quickly
helps marketers to find valuable new keywords
maximize the effectiveness of creative material
before fatigue sets in and even identify entirely new
audiences Marketers are now able to achieve the
near 11 level personalization that had before been
impossible all while dedicating more time to drafting
the creative materials that Albert is optimizing
Thatrsquos not to say that marketers lose control of how
their campaigns are planned executed and
optimized Albert only operates within the parameters
set by his human users For example while Albert is
able to use his given budget for a campaign however
he sees fit he cannot exceed it The tool relies on
open collaboration between human and machine
with marketers trusting Albert to only make decisions
that help them reach the campaignrsquos stated goals
and Albert working within the limitations set for him by
those marketers
Like Sentrian Albert takes data from a disparate range
of formats and sources mdash eg Facebook Instagram
YouTube AdWords mdash and easily analyzes them a
task that typically takes entire staffs of data analysts
working around the clock to complete But Albert is
not only able to give recommendations based on
his analyses but base and MAKE decisions on them
completely independent of his operators The result
is increased and accelerated revenue smarter ad
spend investment more individualized customer
experiences and finally more satisfied consumers
As consumers become more and more demanding
Albert is a marketerrsquos best hope for investing the time
and money they need to satisfy them
8 New York | Tel Aviv | wwwalbertai | infoalbertai
Finance - NICE Actimize
Another industry where professionals are struggling
to deal with impossible volumes of data is finance
With so much of the worldrsquos wealth existing in digital
formats changing hands billions of times each
day banks are struggling to track financial crimes
like money laundering Itrsquos this kind of risk that can
partially explain why 30 of financial institutions
are planning on investing in AI in the coming years
according to a PwC report1 Companies like NICE
Actimize are seizing that opportunity by creating
smart platforms that can reliably protect banksrsquo
assets
ACTone NICE Actimizersquos financial crime investigation
platform uses AI-enabled RPA to automate many
of the routine tasks involved in rooting out potential
crime such as fetching data from other systems and
prepping cases Over time ACTonersquos AI gets better
and faster at detecting potential crimes completing
the tasks needed to investigate them and improving
the human operatorrsquos decision-making The platform
will cut the time of investigating a single report by up
to 70
ACTonersquos AI component allows it to recognize
the similarities between incidents as they occur
at different times and in different places making
the kinds of connections that human investigators
are often too overworked to make mdash or in many
7 Global FinTech Report 2017 (2017) Redrawing the lines FinTechrsquos growing influence on Financial Services - PwC httpswwwpwccomgxenindustriesfinancial-servicesassetspwc-global-fin-tech-report-2017pdf
cases are too subtle for the human eye to catch
Cybercrime tactics are getting increasingly
advanced and banks and finance institutions
are understandably worried that they arenrsquot
properly equipped to deal with this growing and
unpredictable threat ACTonersquos predictive analytics
provides them with a safeguard against that threat
leveraging AI to identify suspicious activity and stop it
at its source
But of course detection is only half the battle when
it comes to stopping financial crime mdash much of it
comes down to properly closing cases against the
perpetrators which takes a great deal of vigilance
and effort ACTonersquos Virtual Workforce feature greatly
reduces the burden placed on investigators by
deploying a team of bots to do many of the tedious
tasks involved in this kind of casework which frees the
human worker to focus their attention on performing
a more accurate investigation
There are few industries more concerned with risk
than finance and as our economy becomes more
and more digitized banks need better smarter
digital resources to mitigate that risk NICE Actimize
is at the forefront of this push to make the digital
economy more secure more predictable and safer
for both banks and consumers to use
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
6 New York | Tel Aviv | wwwalbertai | infoalbertai
Medical - Sentrian
Yoursquove probably already heard plenty of lofty
prognostications about a future where doctors can
begin to anticipate and treat your illnesses before
you even feel their symptoms but Sentrian is the
company thatrsquos actually closest to making those
fantasies a reality Recognizing a crisis in American
healthcare where more people are living longer lives
and experiencing greater rates of chronic disease
the company is using biosensors and AI to stay two
steps ahead of illnesses so that patients can spend
their lives in the comfort of their homes
Sentrian bills itself as ldquothe first remote patient
intelligence companyrdquo and aims to use its AI to
analyze massive volumes of patient data in order
to more accurately predict when chronically ill
individuals will actually need to be hospitalized Care
providers often donrsquot have the necessary information
to determine which medical problems can be
reversed through a fairly moderate intervention
and when This leads to many unnecessary
hospitalizations excessive medical costs and a
drastic impact on the patientrsquos quality of life
Sentrian aims to fix these problems by bridging the
gap between primary care clinicians and patients
with chronic illness who are living at home As remote
biosensors become both more advanced and
more affordable the company plans to leverage
the massive amount of medical data they produce
by training their AI to do the work of a full-time
clinical team The AI is taking in massive amounts
of information from around the world not only from
biosensors but importantly from the information
reported by patients and doctors All this data is
enabling the AI to detect warning signs in patients
that would normally take a team of doctors to
identify
New technologies have traditionally faced huge
obstacles to adoption in healthcare because of how
strongly regulated the field is with IT professionals
often struggling to connect all the various platforms
that do manage to get FDA approval in ways that are
both efficient and compliant Thatrsquos why the Sentrian
platform is device-and gateway-agnostic which
means that as more devices become approved
and used they can immediately start feeding data
into the platformrsquos AI This will only serve to make its
decisions more informed as more data devices and
patients are plugged into it
Like with Automation Anywhere the Sentrian AIrsquos truly
autonomous quality is its ability to sort through not
only a tremendous amount of data but data with
an incredibly wide range of formats and purposes
The platform will be able to unite many different
data sets regarding the same patient (from various
doctors tests specialists etc) to derive coherent
insights while also using data from patients suffering
with similar conditions in different cities states or
even continents Sentrian could be a fix not just for
millions of patients dealing with chronic illness but
for healthcare systems across the globe as they deal
with a new generation of patients
7New York | Tel Aviv | wwwalbertai | infoalbertai
Marketing - Alberttrade
Of course wersquod be remiss to make a list of the top
performers in autonomous AI without mentioning
Albert the worldrsquos first completely autonomous
marketing platform built from the ground up using
AI As modern marketers struggle to manage ever-
growing volumes of consumer data coming from
campaigns run on an ever-expanding number of
channels Albert is freeing marketers to return to the
creative and strategic work they do best
Forrester6 puts the problem faced by todayrsquos advertisers
concisely they must struggle to balance ldquobrand
storytelling audience-based targeting insights
from customer data personalization and customer
experiencerdquo all across far too many digital media
channels and devices And while marketers are racing
to adapt to this new era in media consumers are
already way ahead of them expecting previously
impossible levels of personalization from marketing
campaigns Without a way to efficiently leverage the
increasing amount of data they produce brands will
consistently fail to meet the rising standards of modern
internet users
Albert performs many of the tedious data-centric
tasks that have become far too central to the average
marketerrsquos role After being plugged into a brand
or agencyrsquos tech stack Albert is able to gather
information from across email display social and
search campaigns in order to optimize campaigns on
each channel autonomously executing on what he
learns without the need for much human intervention
6 Forrester (2016 February) TechRadartrade Marketing And Ad-vertising Technology Q1 2016 - Forrester httpswwwforrestercomreportTechRadar+Marketing+And+Advertising+Technolo-gy+Q1+2016-E-RES115810
With the help of his human operators Albert quickly
helps marketers to find valuable new keywords
maximize the effectiveness of creative material
before fatigue sets in and even identify entirely new
audiences Marketers are now able to achieve the
near 11 level personalization that had before been
impossible all while dedicating more time to drafting
the creative materials that Albert is optimizing
Thatrsquos not to say that marketers lose control of how
their campaigns are planned executed and
optimized Albert only operates within the parameters
set by his human users For example while Albert is
able to use his given budget for a campaign however
he sees fit he cannot exceed it The tool relies on
open collaboration between human and machine
with marketers trusting Albert to only make decisions
that help them reach the campaignrsquos stated goals
and Albert working within the limitations set for him by
those marketers
Like Sentrian Albert takes data from a disparate range
of formats and sources mdash eg Facebook Instagram
YouTube AdWords mdash and easily analyzes them a
task that typically takes entire staffs of data analysts
working around the clock to complete But Albert is
not only able to give recommendations based on
his analyses but base and MAKE decisions on them
completely independent of his operators The result
is increased and accelerated revenue smarter ad
spend investment more individualized customer
experiences and finally more satisfied consumers
As consumers become more and more demanding
Albert is a marketerrsquos best hope for investing the time
and money they need to satisfy them
8 New York | Tel Aviv | wwwalbertai | infoalbertai
Finance - NICE Actimize
Another industry where professionals are struggling
to deal with impossible volumes of data is finance
With so much of the worldrsquos wealth existing in digital
formats changing hands billions of times each
day banks are struggling to track financial crimes
like money laundering Itrsquos this kind of risk that can
partially explain why 30 of financial institutions
are planning on investing in AI in the coming years
according to a PwC report1 Companies like NICE
Actimize are seizing that opportunity by creating
smart platforms that can reliably protect banksrsquo
assets
ACTone NICE Actimizersquos financial crime investigation
platform uses AI-enabled RPA to automate many
of the routine tasks involved in rooting out potential
crime such as fetching data from other systems and
prepping cases Over time ACTonersquos AI gets better
and faster at detecting potential crimes completing
the tasks needed to investigate them and improving
the human operatorrsquos decision-making The platform
will cut the time of investigating a single report by up
to 70
ACTonersquos AI component allows it to recognize
the similarities between incidents as they occur
at different times and in different places making
the kinds of connections that human investigators
are often too overworked to make mdash or in many
7 Global FinTech Report 2017 (2017) Redrawing the lines FinTechrsquos growing influence on Financial Services - PwC httpswwwpwccomgxenindustriesfinancial-servicesassetspwc-global-fin-tech-report-2017pdf
cases are too subtle for the human eye to catch
Cybercrime tactics are getting increasingly
advanced and banks and finance institutions
are understandably worried that they arenrsquot
properly equipped to deal with this growing and
unpredictable threat ACTonersquos predictive analytics
provides them with a safeguard against that threat
leveraging AI to identify suspicious activity and stop it
at its source
But of course detection is only half the battle when
it comes to stopping financial crime mdash much of it
comes down to properly closing cases against the
perpetrators which takes a great deal of vigilance
and effort ACTonersquos Virtual Workforce feature greatly
reduces the burden placed on investigators by
deploying a team of bots to do many of the tedious
tasks involved in this kind of casework which frees the
human worker to focus their attention on performing
a more accurate investigation
There are few industries more concerned with risk
than finance and as our economy becomes more
and more digitized banks need better smarter
digital resources to mitigate that risk NICE Actimize
is at the forefront of this push to make the digital
economy more secure more predictable and safer
for both banks and consumers to use
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
7New York | Tel Aviv | wwwalbertai | infoalbertai
Marketing - Alberttrade
Of course wersquod be remiss to make a list of the top
performers in autonomous AI without mentioning
Albert the worldrsquos first completely autonomous
marketing platform built from the ground up using
AI As modern marketers struggle to manage ever-
growing volumes of consumer data coming from
campaigns run on an ever-expanding number of
channels Albert is freeing marketers to return to the
creative and strategic work they do best
Forrester6 puts the problem faced by todayrsquos advertisers
concisely they must struggle to balance ldquobrand
storytelling audience-based targeting insights
from customer data personalization and customer
experiencerdquo all across far too many digital media
channels and devices And while marketers are racing
to adapt to this new era in media consumers are
already way ahead of them expecting previously
impossible levels of personalization from marketing
campaigns Without a way to efficiently leverage the
increasing amount of data they produce brands will
consistently fail to meet the rising standards of modern
internet users
Albert performs many of the tedious data-centric
tasks that have become far too central to the average
marketerrsquos role After being plugged into a brand
or agencyrsquos tech stack Albert is able to gather
information from across email display social and
search campaigns in order to optimize campaigns on
each channel autonomously executing on what he
learns without the need for much human intervention
6 Forrester (2016 February) TechRadartrade Marketing And Ad-vertising Technology Q1 2016 - Forrester httpswwwforrestercomreportTechRadar+Marketing+And+Advertising+Technolo-gy+Q1+2016-E-RES115810
With the help of his human operators Albert quickly
helps marketers to find valuable new keywords
maximize the effectiveness of creative material
before fatigue sets in and even identify entirely new
audiences Marketers are now able to achieve the
near 11 level personalization that had before been
impossible all while dedicating more time to drafting
the creative materials that Albert is optimizing
Thatrsquos not to say that marketers lose control of how
their campaigns are planned executed and
optimized Albert only operates within the parameters
set by his human users For example while Albert is
able to use his given budget for a campaign however
he sees fit he cannot exceed it The tool relies on
open collaboration between human and machine
with marketers trusting Albert to only make decisions
that help them reach the campaignrsquos stated goals
and Albert working within the limitations set for him by
those marketers
Like Sentrian Albert takes data from a disparate range
of formats and sources mdash eg Facebook Instagram
YouTube AdWords mdash and easily analyzes them a
task that typically takes entire staffs of data analysts
working around the clock to complete But Albert is
not only able to give recommendations based on
his analyses but base and MAKE decisions on them
completely independent of his operators The result
is increased and accelerated revenue smarter ad
spend investment more individualized customer
experiences and finally more satisfied consumers
As consumers become more and more demanding
Albert is a marketerrsquos best hope for investing the time
and money they need to satisfy them
8 New York | Tel Aviv | wwwalbertai | infoalbertai
Finance - NICE Actimize
Another industry where professionals are struggling
to deal with impossible volumes of data is finance
With so much of the worldrsquos wealth existing in digital
formats changing hands billions of times each
day banks are struggling to track financial crimes
like money laundering Itrsquos this kind of risk that can
partially explain why 30 of financial institutions
are planning on investing in AI in the coming years
according to a PwC report1 Companies like NICE
Actimize are seizing that opportunity by creating
smart platforms that can reliably protect banksrsquo
assets
ACTone NICE Actimizersquos financial crime investigation
platform uses AI-enabled RPA to automate many
of the routine tasks involved in rooting out potential
crime such as fetching data from other systems and
prepping cases Over time ACTonersquos AI gets better
and faster at detecting potential crimes completing
the tasks needed to investigate them and improving
the human operatorrsquos decision-making The platform
will cut the time of investigating a single report by up
to 70
ACTonersquos AI component allows it to recognize
the similarities between incidents as they occur
at different times and in different places making
the kinds of connections that human investigators
are often too overworked to make mdash or in many
7 Global FinTech Report 2017 (2017) Redrawing the lines FinTechrsquos growing influence on Financial Services - PwC httpswwwpwccomgxenindustriesfinancial-servicesassetspwc-global-fin-tech-report-2017pdf
cases are too subtle for the human eye to catch
Cybercrime tactics are getting increasingly
advanced and banks and finance institutions
are understandably worried that they arenrsquot
properly equipped to deal with this growing and
unpredictable threat ACTonersquos predictive analytics
provides them with a safeguard against that threat
leveraging AI to identify suspicious activity and stop it
at its source
But of course detection is only half the battle when
it comes to stopping financial crime mdash much of it
comes down to properly closing cases against the
perpetrators which takes a great deal of vigilance
and effort ACTonersquos Virtual Workforce feature greatly
reduces the burden placed on investigators by
deploying a team of bots to do many of the tedious
tasks involved in this kind of casework which frees the
human worker to focus their attention on performing
a more accurate investigation
There are few industries more concerned with risk
than finance and as our economy becomes more
and more digitized banks need better smarter
digital resources to mitigate that risk NICE Actimize
is at the forefront of this push to make the digital
economy more secure more predictable and safer
for both banks and consumers to use
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
8 New York | Tel Aviv | wwwalbertai | infoalbertai
Finance - NICE Actimize
Another industry where professionals are struggling
to deal with impossible volumes of data is finance
With so much of the worldrsquos wealth existing in digital
formats changing hands billions of times each
day banks are struggling to track financial crimes
like money laundering Itrsquos this kind of risk that can
partially explain why 30 of financial institutions
are planning on investing in AI in the coming years
according to a PwC report1 Companies like NICE
Actimize are seizing that opportunity by creating
smart platforms that can reliably protect banksrsquo
assets
ACTone NICE Actimizersquos financial crime investigation
platform uses AI-enabled RPA to automate many
of the routine tasks involved in rooting out potential
crime such as fetching data from other systems and
prepping cases Over time ACTonersquos AI gets better
and faster at detecting potential crimes completing
the tasks needed to investigate them and improving
the human operatorrsquos decision-making The platform
will cut the time of investigating a single report by up
to 70
ACTonersquos AI component allows it to recognize
the similarities between incidents as they occur
at different times and in different places making
the kinds of connections that human investigators
are often too overworked to make mdash or in many
7 Global FinTech Report 2017 (2017) Redrawing the lines FinTechrsquos growing influence on Financial Services - PwC httpswwwpwccomgxenindustriesfinancial-servicesassetspwc-global-fin-tech-report-2017pdf
cases are too subtle for the human eye to catch
Cybercrime tactics are getting increasingly
advanced and banks and finance institutions
are understandably worried that they arenrsquot
properly equipped to deal with this growing and
unpredictable threat ACTonersquos predictive analytics
provides them with a safeguard against that threat
leveraging AI to identify suspicious activity and stop it
at its source
But of course detection is only half the battle when
it comes to stopping financial crime mdash much of it
comes down to properly closing cases against the
perpetrators which takes a great deal of vigilance
and effort ACTonersquos Virtual Workforce feature greatly
reduces the burden placed on investigators by
deploying a team of bots to do many of the tedious
tasks involved in this kind of casework which frees the
human worker to focus their attention on performing
a more accurate investigation
There are few industries more concerned with risk
than finance and as our economy becomes more
and more digitized banks need better smarter
digital resources to mitigate that risk NICE Actimize
is at the forefront of this push to make the digital
economy more secure more predictable and safer
for both banks and consumers to use
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
9New York | Tel Aviv | wwwalbertai | infoalbertai
Conclusion Looking Forward
AI is a promising solution to many of the problems
that industries across our economy face with
regard to both efficiency and accuracy but itrsquos an
advanced precise tool that shouldnrsquot be wielded
like a blunt instrument Companies that adopt
AI platforms as a set-it-and-forget-it solution will
ultimately be disappointed by their performance
and likely be no better off than the companies that
neglected to adopt in the first place
The companies wersquove highlighted have done their
best to design AI platforms that do much of the work
on their own and integrate easily with a companyrsquos
existing processes but all of them require active
collaboration with their human operators AI is not
an excuse to stop thinking about or working towards
better solutions to the problems we face in our
respective industries mdash itrsquos an opportunity to put new
ideas into practice and to augment our efforts to
achieve things that otherwise would not have been
possible The future of AI rests not with any one of
these platforms but with your ability to put them to
good use
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
10 New York | Tel Aviv | wwwalbertai | infoalbertai
About Alberttrade
Albert is the first-ever fully autonomous artificial intelligence digital marketer driving digital
marketing campaigns from start to finish for some of the worldrsquos leading brands Albertrsquos
mission is to liberate businesses from the complexities of digital marketingmdashnot just by
replicating their existing efforts but by executing them at a pace and scale not previously
possible He serves as a highly intelligent and sophisticated member of brandsrsquo marketing
teams wading through mass amounts of data converting this data into insights and
autonomously acting on these insights across channels devices and formats in real time
This eliminates the manual and time-consuming tasks that currently limit the effectiveness
and results of modern digital advertising and marketing Brands such as Harley Davidson
EVISU Cosabella The Big Red Group and Dole Asia credit Albert with significantly increased
sales an accelerated path to revenue the ability to make more informed investment
decisions and reduced operational costs Visit albertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
11New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai
New York | Tel Aviv | wwwalbertai | infoalbertai