World’s first search engine

for the public Internet of Things

thingful.net

The outline of my talk

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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

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• 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.

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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

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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