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4th Industrial Revolution + Featured Technology

2© Microsoft Australia 2018.

4th Industrial Revolution + Featured Technology

The fourth industrial revolution is emerging, largely driven by the rise of Big Data, the growth of the cloud, and a new era of intelligence capabilities. With the world around us rapidly changing faster than at any other point in history, there are indicators everywhere that we are in the middle of this right now.

Thanks to the exponential proliferation of small, inexpensive chips and processors, computers are as ubiquitous as the people who use them – from traditional computers, tablets and phones to sensors and wearables. Machines are everywhere, constantly creating, collecting and making sense of the data in our midst. With the magic of machine learning and the limitless computing power of the cloud, this data is giving rise to intelligence that is augmenting human capabilities in exciting new ways.

At Microsoft, our ambition is to democratise the fourth industrial revolution by providing the building blocks to empower organizations large & small – enabling them to build, innovate and allowing them to see real business impact and results fast. We believe an organisation’s data is a key strategic asset which, when combined with the cloud and the potential of intelligence capabilities, provides the opportunity to automate, innovate and increase the speed of business.

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4th Industrial Revolution + Featured Technology

Microsoft’s aim is to achieve this digital transformation through 4 key pillars outlined:

In order to power this digital transformation, we would like to feature 5 technology groups that are pioneering the fourth industrial revolution:

1. ArtificialIntelligence2. Blockchain3. Internet of Thing (‘IoT’)4. Mixed Reality 5. Modern Workplace

“At Microsoft we’re proud to partner with and empower all our customers around the world with the leading technology to seize the vast opportunities ahead”– Satya Nadella

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ArtificialIntelligence

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Artificial intelligence (AI) refers to systems that change behaviors without being explicitly programmed, based on data collected, usage analysis, and other observations.

AI is designed to allow computers to replicate & exceed human qualities such as hearing, seeing, reasoning & learning. AI is not one single technology, but rather it is an umbrella term that encompasses multiple technologies such as machine learning, deep learning, computer vision, and natural language processing (NLP) that, individually or in combination, add intelligence to applications. Through the increased accessibility of cloud computing, the ubiquitous availability of parallel processing power, near free data storage, and an exponential increase in data are increasing the availability and usability of AI. ThepotentialbenefitsofAIarevast, starting with the ability to ingest more data and detect (and predict) patterns more accurately than people can. However, AI also poses challenges that include ethical, legal, and regulatory considerations, and there are issues around how to secure the right talent, technology, and access to data to make the most of this opportunity.Software developers and end user organizations have already begun the process of embedding and deploying cognitive computing/AI into almost every kind of enterprise application or process.

Computer vision is one of the hottest areas in AI today and chatbots are growing in popularity because AI systems can manage customer and employee process through a decisiontreemoreeffectivelythanhumandirection can. New enterprise-grade business models are emerging with the technology becoming widely available through open source libraries and pre-trained models that can be used for creating proofs of concept, ultimately leading to production-grade, commercially-scalable solutions.

Microsoft’s RoleMicrosoft has been investing in the promise of AI for more than 25 years and has a bold vision: to build systems that have true AI across agents, applications, services, and infrastructure. This vision is also inclusive and applicable to the wider community – to democratize AI for everyonetorealiseitsbenefits.Microsoft at present has a few set of tools enabling organisations and individuals to harness the power of AI including:• Azure Bot Framework• Cognitive Services• Machine Learning

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Azure Bot FrameworkBots function as an assistant that help automate human processes. This can range from relatively simple chatbots that perform straightforward & repetitive tasks such as sending daily weather updates, or can range to more complicated transactional bots that areabletobookflights,hotelroomsorevenorder a pizza.Botsalsohavetheabilitytoutiliseartificialintelligence & machine learning to learn, understanddifferentlanguagesandprocesscomplicated requests. An example of a bot capable of ordering you a Pizza can be found in the following image:

YoucanfindmoreinformationontheMicrosoft Bot Framework on the Microsoft website: dev.botframework.comFor examples of live chat bots you can try talking to Zo, a Microsoft AI bot that people around the world have spent hours conversing with – www.zo.ai or MurphyBot that allows you to answer your burning “what-if?” questions such as “What if Donald Trump wore a dress?” – www.projectmurphy.net

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Cognitive ServicesCognitive Services are a variety of differentMicrosoftAPIsthatenabledevelopers to make an application more intelligent and engaging. These APIs allows developers to implement features such as facial, speech or vision recognition, emotion detection and sentiment analysis, to be embedded into applications.Azure Cognitive Services PortalAt a high level overview, here a few descriptions of cognitive services you can deploy in your applications:

You can learn more about the cognitive services API here.For a live test of the Microsoft Cognitive Services API, try out the facial emotion feature with your own photo here.

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Machine LearningMachine learning provides computers and programs with the ability to learn without being explicitly programmed through pattern recognition and outcome predictions based offlargeamountsofdatainputs.Thisispowered by computerized mathematical algorithms that build probabilistic models to make assumptions and predictions of similar data-sets. At present there has been a strong focus on a few machine learning framework specialisations:•ArtificialNeuralNetworks-loosely

modelling the human brain to recognize patterns through connected ‘neurons’

• Deep Learning - complex simulations of human learning passing through numerous layers of networks. You can take a look at CNTK, Microsoft’s open-source toolkit for trains deep learning algorithms to learn like the human brain

Machine Learning can be applied to a variety of contexts, some real-life use cases where machine learning has already begun to be used can be seen in: • Recommending online retail shoppers new

or related products they may be interested in•Netflixpredictingnewshowsthatyoumight

be interested in based on what your likes and what you have previously viewed

• Understanding the psychology behind criminals to prevent crimes

Learn more about Machine LearningYou can learn more about the Azure Machine Learning Studio here.

Videos

• Microsoft AI enabling a visually impaired person to see

• Microsoft cognitive services push gains momentum

Case Studies

• Uber utilising facial recognition to improve driver/passenger safety – customers.microsoft.com/en-us/story/uber

• DDixon carphones using a bot named Cami to help customers with searching and sourcing their site – customers.microsoft.com/en-us/story/dixons-carphone-retail-cognitive-services

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Blockchain

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Blockchain is a cryptographically secure, shared, distributed ledger. It allows for the exchange of data/information or assets between trusted participants without the need of intermediaries.

Thefirstkeycomponentofblockchainistheledger which is a historical journal that keeps track of all transactions. Traditionally, this has been housed in a centralized fashion and taken by all other parties as the one source of truth. Because all information is stored by one party, there is greater onus on the central party to maintain the integrity and security of the information, which typically adds more auditandverificationproceduresintoprocess.

By distributing and duplicating this ledger (‘decentralization’) across networks of computers, the information is continuously shared, updated and reconciled through a consensus protocol – thus making any individualchangesindatahighlydifficulttoalter. As there is no single publisher for the ledger, the information is publicly viewable andverifiableamongstallotherparties.

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Secure

Shared

Distributed

Ledger

Blockchain is a secure, shared, distributed ledgerBlockchain is a secure, shared, distributed ledger

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A ledger on a blockchain can be distributed in a number of ways, however the most robust is a peer-to-peer network which means each user has their own copy of the ledger &participatesinconfirmingtransactionsindependently.Specifically,theywillaccept,confirm&storetransactionsintoahashed‘chain’ of transactions blocks.

What is hashing?Hashingisdefinedascreatingafixedlength,random string of data known as a digest that uniquely represents a data set of arbitrary data length. In essence, creating a unique identifierforthatsetofdata.Thesourcedatacan be any length at all and the hash, the fixed(usually256bitslong)‘hash’isalwaysexactly the same length and is always exactly the same value and that value is always unique. Most importantly, these functions are one-way, meaning that if you have the digest there is no way to calculate the original source data. Hashing is relevant in the context of linking “transaction blocks” into a chain and is used as a means of encrypting the information within a block into a unique identifier,whichisthenreferencedinthetwoadjacent blocks before and after it.

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That decentralizes data in a trustless environment

Traditional System

Centralized system with stored ledger

Blockchain System

Distributed system with distributed ledger

▪ Traditional ledgers are centralized and use 3rd parties and middlemen to approve and record transactions▪ Blockchain safely distributes ledgers across the entire network and does not require any middleman▪ The technology maintains multiple replicas like p2p torrent file sharing

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That decentralizes data in a trustless environment

Traditional System

Centralized system with stored ledger

Blockchain System

Distributed system with distributed ledger

▪ Traditional ledgers are centralized and use 3rd parties and middlemen to approve and record transactions▪ Blockchain safely distributes ledgers across the entire network and does not require any middleman▪ The technology maintains multiple replicas like p2p torrent file sharing

Traditional system

Blockchain system

Centralised system with stored ledger

Distributed system with distributed ledger

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Types of blockchain networks

Consortium

Woodgrove Financial

Contoso Bank

Northwind Traders

Bank b

Insurance c

Investment consortium

c

Bank A Blockchain

Location 1

Location 2

Location 3

Location 4

Department A

Department B

Public blockchain

Person a

Woodgrove Financial

Person B

Northwind TradersBank 6

Bank 1

Consortium 6

Public Consortium Private

• Many, unknown participants• Writes by all participants• Reads by all participants• Consensus by Proof of Work

• Known participants from one org• Write permissions centralized• Reads may be public or restricted• Multiple algorithms for consensus

• Known participants from multiple orgs• Writes require consensus of n participants• Reads may be public or restricted• Multiple algorithms for consensus

Types of blockchain networks

Consortium

Woodgrove Financial

Contoso Bank

Northwind Traders

Bank b

Insurance c

Investment consortium

c

Bank A Blockchain

Location 1

Location 2

Location 3

Location 4

Department A

Department B

Public blockchain

Person a

Woodgrove Financial

Person B

Northwind TradersBank 6

Bank 1

Consortium 6

Public Consortium Private

• Many, unknown participants• Writes by all participants• Reads by all participants• Consensus by Proof of Work

• Known participants from one org• Write permissions centralized• Reads may be public or restricted• Multiple algorithms for consensus

• Known participants from multiple orgs• Writes require consensus of n participants• Reads may be public or restricted• Multiple algorithms for consensus

Types of blockchain networks

Consortium

Woodgrove Financial

Contoso Bank

Northwind Traders

Bank b

Insurance c

Investment consortium

c

Bank A Blockchain

Location 1

Location 2

Location 3

Location 4

Department A

Department B

Public blockchain

Person a

Woodgrove Financial

Person B

Northwind TradersBank 6

Bank 1

Consortium 6

Public Consortium Private

• Many, unknown participants• Writes by all participants• Reads by all participants• Consensus by Proof of Work

• Known participants from one org• Write permissions centralized• Reads may be public or restricted• Multiple algorithms for consensus

• Known participants from multiple orgs• Writes require consensus of n participants• Reads may be public or restricted• Multiple algorithms for consensus

Types of blockchain networks

Consortium

Woodgrove Financial

Contoso Bank

Northwind Traders

Bank b

Insurance c

Investment consortium

c

Bank A Blockchain

Location 1

Location 2

Location 3

Location 4

Department A

Department B

Public blockchain

Person a

Woodgrove Financial

Person B

Northwind TradersBank 6

Bank 1

Consortium 6

Public Consortium Private

• Many, unknown participants• Writes by all participants• Reads by all participants• Consensus by Proof of Work

• Known participants from one org• Write permissions centralized• Reads may be public or restricted• Multiple algorithms for consensus

• Known participants from multiple orgs• Writes require consensus of n participants• Reads may be public or restricted• Multiple algorithms for consensus

Types of blockchain networks

Consortium

Woodgrove Financial

Contoso Bank

Northwind Traders

Bank b

Insurance c

Investment consortium

c

Bank A Blockchain

Location 1

Location 2

Location 3

Location 4

Department A

Department B

Public blockchain

Person a

Woodgrove Financial

Person B

Northwind TradersBank 6

Bank 1

Consortium 6

Public Consortium Private

• Many, unknown participants• Writes by all participants• Reads by all participants• Consensus by Proof of Work

• Known participants from one org• Write permissions centralized• Reads may be public or restricted• Multiple algorithms for consensus

• Known participants from multiple orgs• Writes require consensus of n participants• Reads may be public or restricted• Multiple algorithms for consensus

Types of Blockchain NetworksThere are three types of blockchain networks: public, private and federated/consortium networks.Pleasefindmoreinformationoneach of them in the image below.

Formoreinformationaboutthedifferenttypes of blockchain click here.

Microsoft Blockchain DevelopmentMicrosoftcurrentlyofftersBlockchain as a service under “Azure Blockchain Service”. Enterprises and users are able to quickly build their own blockchain services on the Azure platform.You can learn more about blockchain on Azure here.Microsoft has also released an architectural approach to building Enterprise Consortium Blockchain Ecosystems, reducing the barriers to entry for enterprises utilising the new technology, under the code name “Project Bletchley”.Read more about “Project Bletchley” here.

KeyBenefitsofAzure Blockchain Service• Accountability & Transparency: With

greater adoption & use in a particular blockchain,itbecomeshighlydifficulttomodify historical data

•DigitalTrust:Established,verified&trustedsources of information (pending input accuracy)

• Removes need for intermediaries and associated transaction and agency costs

• Eliminates intermediaries • Reduces fraud • Increasesefficiencyandspeed• Increases revenue and savings

Public Private Consortium

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Key Uses CasesOne of the main applications of employing a blockchain, is within any sector/industry that requires increased transparency & trust amongst parties. For instance, as an example of a use case, a blockchain deployed at a university could be used to ensure a student’s academic achievements are accurate and verifiablewhenpassedovertoemployers(Mike Ross). In addition, underpinning the sharp rise of cryptocurrency is blockchain technology. With rampant adoption of decentralized networks in commerce, industries such as property can be revolutionised with records of property and land being publicly viewable and instantaneously tradable or contracts may become programmable with the use of smart contracts.Here are a few other industry examples that can be improved via blockchain:

FinanceRedesigncostlylegacyworkflows,improveliquidity, and free up capital

HealthcareProvide fast, secure, authenticated access to personal medical records across healthcare organizations and geographies

Retail & manufacturingCreate smarter supply chains traceability, capable of real-time audits, and improve visibility into asset provenance and chain of custody

GovernmentImprove transparency and traceability of spending and asset registration and voting systems.

Sites:

• How BlockChain can impact the manufacturing industry

• Simply Explained – How does a blockchain work?

• TedX:BlockchainMassivelySimplified | Richie Etwaru

Case Studies

• ID2020 – Approximately, one-sixth of the world’s population is unable to access basic rights and services due to a lack of identity(healthcare, education, voting). Through blockchain, they will be given auniversaldigitalformofidentificationstarting with refugee populations this year – read more.

• Microsoft partners with Webjet ensuring increaseefficienciesoftheirbookingsystemthrough blockchain technology – read more.

• Bank of America utilises blockchain to processtheirtradefinancingtransactions – read more.

• De Beers, the world’s biggest diamond producer using Blockchain to verify authenticity of diamonds and ensuring it isnotfinancingcrime/war–read more.

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Internet of Thing (‘IoT’)

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The IoT (‘Internet of Things’) refers to the connection of any physical item via sensor to the internet. This can include items such as a smartphone, coffee machines, vehicles or even living organisms like animals and plants. Through the connected objects & IoT, we are able to collect data on the respective asset and exchange information over the cloud and with other connected devices. This in essence helps to create a digital twin of the physical asset. We have seen a sharp rise in personal IoT devices, particularly around home automation with the ability to control our home’s temperatures (Nest), lights (LIFX), TV with our smartphones, voice control.

By creating an ecosystem of IoT connected items,weareabletoallowdifferentdevices to ‘talk’ to each other.A great example of this is provided through IFTTT, where your home can automatically turn on the front lights when your pizza delivery arrives at your doorstep. Through IoT, individuals and enterprises are able to easily monitor assets, analyze their data in real-time, run simulations & apply predictive or self-maintenance procedures.

Auto

Innovation at work – real IoT use casesInnovation at work – real IoT use cases

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DefiningIoTThere are essentially 4 main components to understand what the IoT is:1. Things – This is the physical object,

asset or item to which you are connecting to the internet

2. Insights – The ‘things’ generate intelligent analytics & data to relay

3. Actions – The insights allows us to make better decisions/actions upon the underlying ‘thing’

4. Network – The network is the ‘invisible’ platform to which powers the insights

Let’s take an example:1. Things – You would like to grow a lemon

tree and attach a sensors to monitor: soil, water, temperature & weather content

2. Insights – You are given updates on your plants growth & needs (i.e not enough water during hot temperatures)

3. Actions – You are able to grow your lemon treewithgreaterprecisionandefficiencythat maximizes yield

Key Advantages/Enablers• Increased intelligent data insights • Automation & Predictive Analysis • Asset self-maintenance• Remote Monitoring • Remote Control

KeyUses&BeneficiariesWhen we look at the applications of IoT, we cancentralizetheminto3mainbeneficiaries:consumers, societies and enterprises. Here are a few examples:

ConsumerWhenyourmorningalarmgoesoff,yourcoffeemachineautomaticallybeginstobrewyourmorningcoffee

SocietyCities can help drivers to identify less congested routes and paid or free parking availabilities

EnterprisesManufacturing plants can predictively maintain their supply chain assets, before they breakdown and create bottlenecks.

Microsoft Architecture/PlatformThe Azure IoT Suite is enterprise grade software built allowing businesses to integrate and manage a wide range of devices from a central location. It gives businesses the power to monitor devices, manage assets and predictively maintain them through one interface on top of Microsoft Azure. From an data point of view, the Azure IoT Suite also provides businesses with the opportunity to conduct data analytics on top of their hardware and software stack for high level business oversight and optimisation.

Insights ActionsThings

Defining IoT

Insights Actions

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Microsoft Azure IoT Suite has three components:1. Physical Layer – The hardware that

makes an IoT device, including sensors and networking gear

2. Network Layer – Responsible for transmitting the data collected by the physicallayertodifferentdevices.

3. Application Layer – This includes the protocols and interfaces that devices use to identify and communicate with each other.

Learn more about the Azure IoT suite here.

Sites & Resources

• Good Introductory Video to IoT – Microsoft Azure IoT Suite Dynamics CRM Connected Field Service

• Microsoft Internet of Things• What is the Internet of Things?

And why should you care? | Benson Hougland | TEDxTemecula

• Tedx Talk (Introductory Video by JordanDuffy)–Theinternetofthings|JordanDuffy|TEDxSouthBank

Case Studies

• Schneider Electric – Supporting sustainable farming with Azure IoT – watch now.

• Microsoft Customer IoT Story – Manufacturing – Johnson Controls – read more.

• Microsoft Customer IoT Story – Retail – Keith Koep – read more.

• Microsoft Customer IoT Story – Rolls Royce Story – watch now.

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Mixed Reality

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Mixed Reality (MR), otherwise also known as Hybrid Reality, is the merging of real-world and virtual content to generate new environments and visualisations that provide unique and interactive experiences. They are able to co-exist & interact in real time.

Mixed Reality works by scanning your physical environment and creating a 3D map of your surroundings so the device will know exactly where and how to place digital content into that space while allowing you to interact with it using gestures. The use of transparent lenses, spatial sound and an understanding of your physical environment will allow holograms to look, sound and behave like real objects that are able to interact with the environment around them and also with each other. This allows the entire world around you to become a new canvas to play, learn, communicate & interact with.

Augmented Reality (AR) / Virtual Reality (VR) - Spectrum• Augmented Reality allows you to overlay

digital content on top of a real-world object or location. An example is the widely popular Pokémon Go allowing you to see Pokémon over real-world terrain.

• Virtual Reality transports a user into an entirely digital landscape, (visually). It allows users to be immersed in a new world environment via a VR headset. Zero Latency VR allow teams to be in a VR environment where you can solve geometric puzzles or battle space aliens (Singularity Trailer).

• Mixed Reality blends these two ends of the spectrum allowing you to overlay digital content over the real-world, allowing you to experience both AR and VR elements withinanunitedexperience.Youcanfindout more information on Mixed Reality with Microsoft’s premier mixed reality device, the HoloLens.

Source: thenextweb.com/insider/2017/01/07/mixed-reality-will-be-most-important-tech-of-2017/#.tnw_QMIjyjhl

Mixed reality is experienced in a spectrum

Windows Mixed Reality – Holographic headsets (see-through)

Windows Mixed Reality – Immersive headsets (occluded)

Virtual reality todayAugmented reality today

Mixed reality

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Key Industry UsageThe three largest industries that we believe can be impacted by Mixed Reality:• Design – Allowing Architects, Manufacturers

are visualize their prototype models before production

• Training & Education – Allowing either students to have greater visual education or over-the-shoulder training with remote teams

• Gaming – Creating more immersive experience for gamers to be transported to

AnddespitethefunctionalbenefitsofutilizingAR/VR/MR technology into new use cases, it is in fact the emotional element that is driving momentum in adoption and where people are seeing lots of value.

Microsoft HoloLensHoloLensisthefirstself-containedholographic computer. It allows you to interactwithhigh-definitionhologramsinsideyour world. It’s one of the primary drivers of that mixed reality experience we were just talking about. It’s fully untethered, so you can walk it around anywhere you need it to be. There are no attached wires or necessary room sensors—nothing like that. It runs Windows 10.

Emotional benefits Functional benefits

Unique, otherwise difficult/impossible experiencessuch as travel to far-off locations, dangerous activities (such as exploring a volcano), or watching a deceased artist perform live

Provides stress relief and an escape from everyday life through immersion in another reality

Immersion, with its ability to enhance the experience and allow you to see the visuals through different perspectives

A sense of wonder and discovery, as the user discovers new virtual elements in places they may pass through every day

Enhancing real life with interesting virtual elements instead of everything being virtual

A sense of excitement and novelty through trying new things and having new experiences without having to leave home

Education through a more visual, experiential process and creativity in new mediums

New technology and mixed reality innovations seem fun

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4th Industrial Revolution + Featured Technology

These are the four main pillars of the HoloLens vision. • The first is to bring ideas and information

to life with three-dimensional holograms. This is about sharing product designs in their actual sizes. It’s about increasing understanding, and education, and training, where things are lifelike and they interact with the physical world in a way that’s more natural. It’s about inserting or unlocking new insights when you visualize complex data with holograms.

• The second pillar is about experiencing collaborative computing. You’ll be able to make decisions faster with shared visualizations and see what your colleagues see. You’ll be able to iterate faster because you’ll be tracking every team member’s interaction with content, regardless of when or where it happens.

• The third pillar is about working heads-up, hands-free. The world around you is your screen. See your content where you want or need it to be. Pull up a YouTube video and get an expert overview of how to re-plumb your sink while you’re actually down there looking at the sink. You don’t have to have a device in your hands. If you’ve ever tried to use your phone while doing something that required two hands, you know how valuable that is.

• And the last pillar is bringing that holographic computing power wherever you need to go, so it’s not bound to a single room or environment. You can take it wherever you need it to be, whether you’re doing remote work or just moving toadifferentroominyourhouse.Thereare many situations where you’re going to need a device that’s not tethered to a single location. That’s what we envision for HoloLens.

Learn more about the Hololens & how it works in this video – Microsoft Hololens Explained! – The Future Of Computing.

Videos

• HoloLens in Modern Workplace – Microsoft HoloLens: Mixed Reality in the Modern Workplace

• RMIT Student using the Hololens for assembling – Architecture students at RMIT use the HoloLens for assembling | Structural Armatures

• Ford using the HoloLens to design & iterate quickly – Microsoft HoloLens: Partner Spotlight with Ford

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Modern Workplace

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4th Industrial Revolution + Featured Technology

Workplaces are transforming and our goal is to create an environment where secure, highly reliable platforms for exchanging ideas, having conversations, collaborating, and doing their best work – mobility is the key to productivity in today’s workplace. Microsoft is enabling the modern workplace with Office, Windows and Enterprise Mobility + Security.

A modern workplace enables:

Deliver intelligence and computing power into the hands of a global workforceBreak down silos across organizations and geographies, empowering people and supporting processes that lead to sustainable competitive advantage. Deliver visual reports onanydevice—onlineoroffline—atone-fifththe cost of other self-service solutions. Empower your teams with tools to handle daily activitiesHelp your employees easily share knowledge and access the expertise and resources they need to create value for your customers. Employee portals that can be accessed on mobile devices provide news, product information, tasks, training, social, line-of-business applications, and much more. Solutions use roles to ensure information is always provided in context, allowing employees to prioritize and to remain focused on serving customers and the business.

Ensure all employees are directly aware of corporate messaging and directionEnable employees to directly consume information, which improves consistency of message and exposure to the overall brand and strategy (versus paper or verbal messages passed down). Help reduce operational costs,increaseprocessefficiencies,andfightcommunication fatigue by delivering timely accesstotherightinformation.WithOffice365,youcanalsoproducereportsquicklyanddistribute them automatically.

Connect plant, headquarters and logistics personnel with collaborative tools and mobile access The right productivity tools can help your business thrive by giving all of your employees the tools to easily share knowledge and access the expertise and resources they need. Enable support from anywhere so employees can get and share information more rapidly. By decreasing the distance between plants, stores, and HQ, CG companies can enable product feedback rapidly from customer interaction and sales observations.

Click here to learn more.