moeen khawaja
TRANSCRIPT
World’s first search engine
for the public Internet of Things
thingful.net
The outline of my talk
2
A bit about myself – m2m, telematics and IoT
The product thesis – vision for Thingful
Market implications – disruption on the horizon
Introduction to Thingful – today and tomorrow
IoT use case example – data monetisation
PRIVATE • Presented at Connected World Conference -MRS July 2014
Product thesis and vision
Growth in the emerging global IoT marketplace is accelerating. Core to
every IoT business model is data, now seen as an ‘asset class’.
To make IoT data meaningful & valuable, you need to know:
• where it is
• who created it
• how good it is
• how it compares
• how to act upon it
• how to monetise it
As the global IoT marketplace evolves, Thingful will tackle those issues
& solve those problems, as the most trusted global service for
• finding connected devices
• assessing IoT data provenance & quality
• making decisions about & acting upon the world
3PRIVATE • Presented at Connected World Conference -MRS July 2014
World Economic Forum report 2011, Personal Data: The Emergence of a New Asset Class
Market implications
“The number [of connected devices] is expected to increase dramatically within the next decade, with estimates ranging from... 50 billion devices to reaching
one trillion... The Internet of Things has the potential to create economic impact of $2.7 trillion to $6.2 trillion annually by 2025… Merging the physical and
digital world also has implications for privacy, security and even how companies are organised... These issues will need to be addressed before society
and businesses will be able to enjoy the full benefitsof the Internet of Things.”
McKinsey Global Institute – Disruptive technologies: Advances that will transform life, business and global economy, May 2013
Source: Cisco IBSG, 2012Source: Cisco IBSG, 2012
4
• The monetisation model for IoT is different from the monetisation model of the
web because the nature of IoT data, and how it’s consumed, is fundamentally different.
• IoT manufacturers/infrastructures now have weak recurring revenue business
models and will need to be part of a data consent and release chain – in the long run
may be totally dis-intermediated like ISPs were from content based transactions.
• Discoverability, data quality and provenance assessment will be fundamental
tools for both businesses, powered by secure IoT data from 3rd parties, and
consumers, managing, acting upon & monetising IoT data with full control & informed
consent.
PRIVATE • Presented at Connected World Conference -MRS July 2014
In 2016 a complete on demand IoT data service
Today a search engine for the Internet of Things
Industry-defining IoT search engine and data entitlement framework providing
data discoverability, provenance, interoperability and secure mediation
services for both individuals and companies.E.g. Thingful = Experian + Verisign + mid-90s Yahoo
Introducing Thingful
Cross-network discovery
Like mid-90’s Yahoo (i.e. a managed
directory of categorised links to pages
on the web) Thingful integrates
across IoT data network silos,
breaking constraints of single networks
by making it easier to find things across
all networks.
5
Connected object index
Indexes hundreds of thousands of
connected objects globally, from
corporate, institutional &
governmental public data networks &
infrastructures. Links back to data
sources & provides data preview &
ownership details.
Geographical search
Find connected physical objects &
datastreams; search by geolocation
or data category (e.g. energy, air
quality), preview data. Built on
sophisticated ranking
methodology, ThingRank™, with
patent applications in process.
Provenance &
discussion
People can claim & verify ownership
of objects & attach Twitter profiles,
for discussion/ promotion of data,
devices & deployments, for people,
communities & companies to
connect with each other.
PRIVATE • Presented at Connected World Conference -MRS July 2014
Thingful IoT Data Services on Demand
Origin
verification
Discoverabilit
y
Data Quality assessment
Data Entitlement for
multiple use profiles
Monetisation
based on
entitlement
6PRIVATE • Presented at Connected World Conference -MRS July 2014
One example of multiple connected use cases
7
Jane contacts John via Thingful & he tells her
about his indoor AQ monitor which he hasn’t
made public yet. Thingful tells her it’s the
most popular model in the city & so she buys
one.
Jane worries about her son’s asthma & uses
Thingful to understand air quality (AQ) in her
neighbourhood. She finds several local devices
incl. John’s public outdoor monitor, which
Thingful verified.
John uses Thingful’s entitlement framework to
share his daily aggregate data with Jane, so
they can compare & share strategies for
improving AQ. Thingful knows weather & AQ
are related & shows them local devices.
Acompany Inc produces AQ devices, sells
analytics to cities & uses Thingful to locate AQ
troublespots around the world to market their
devices & services. Thingful helps them find the
AQ group & mediates the purchase of AQ data at
quality & resolution each is comfortable with.
Improving AQ requires wider collaboration, so
John & Jane form a local AQ group on Thingful
to find others with devices on different networks.
Thingful verifies devices & assesses data quality
for both public & private devices, using its
ontological framework to cross-compare.
The city purchases Acompany’s analytics & uses
Thingful to find & assess their progress in
dealing with AQ against other citys’ health
targets. Through Thingful, they identify John &
Jane’s group as an important one to support &
amplify.
PRIVATE • Presented at Connected World Conference -MRS July 2014
World’s first search engine
for the public Internet of Things
thingful.net