IoT data sharing, is it possible?

Transcription

1 World s first search engine for the public Internet of Things IoT data sharing, is it possible? thingful.net Amsterdam, March 2015

2 Data and its value Growth in the emerging global IoT marketplace is accelerating. Core to every IoT business model is data, now seen as an asset class. World Economic Forum report 2011, Personal Data: The Emergence of a New 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 2

3 but IoT is really not the web Not designed for discoverability Not designed for interoperability The IoT structure today is really many private data silos set up for each single service or product experience There are three ways to make IoT a universal proposition Adopt a universal technical solution for open and interoperable handling of data Create an open public data platform where all personal data from an individual can be ported and managed The other way is to enable a method of publishing entitlements independent of where the data resides such that the owner can set up preferences of who is entitled to access the data and in what resolution 3

4 What is Thingful s thesis There are billions of devices that are connected to the Internet in the public and private domains generating data The value of this data will remain locked behind private firewalls and obscure servers unless we can easily Search for it Acquire it through an entitlement system, and Transact on an economic value exchange mediated by a trusted intermediating party 4

5 Introducing Thingful Today a search engine for the Internet of Things Connected object index IoT networks/infrastructures Cross-network discovery Integrates across IoT data silos Geographical search Find connected physical objects Provenance & discussion People claim & verify ownership corporate, institutional & governmental public data Cf. mid-90 s Yahoo, managed directory of categorised links Search by geolocation & category Attach Twitter profiles, prove physical/data access Data source links, data preview & ownership details. Makes it easier to find things across all networks. Patent-pending ranking methodology, ThingRank Discussion/promotion of data, devices & deployments 5

6 What are the implications 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. IoT services market will remain fragmented around verticals Discoverability, data provenance, quality assessment and entitlement will be fundamental tools for both businesses, powered by secure IoT data from 3 rd parties, and consumers, managing, acting upon & monetising IoT data with full control & informed consent. 6

7 Why data sharing makes sense? Value creation occurs when data is pooled and shared across silos Consumer credit bureaus are a testament to that different types of enterprises agreed to start sharing data about an individual so that all could benefit In enterprise IoT we are where we were before the advent of credit bureaus each bank analysing its own records of loan defaults to predict if a particular customer is a good or a bad credit risk without the benefit of knowing who else might have given credit to the individual 7

8 Thingful IoT Data Services on Demand In 2016 a complete on demand IoT data service 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 Discoverability Data Quality assessment Origin verification Data Entitlement for multiple use profiles Monetisation based on entitlement 8

9 IoT data sharing example of use case Real time road temperature data in London Activity tracking data from wearables Vehicle data from a telematics module 9

10 Moeen Khawaja Chief Operating Officer Thingful