unicom conference on digital transformation - the trust framework initiative at digital catapult
TRANSCRIPT
Digital Transformation & Open Innovation Trust Framework Initiative
Michele Nati Privacy and Trust Technical Leader Personal Data and Trust Programme London, 22 October, Digital Transformation Conference
A national centre to rapidly advance the UK’s best
digital ideas
Completely neutral
Not for profit, private limited
company
Who are we?
We are NOT a funder, incubator or accelerator! Our aim is to work with these organisations, not duplicate
To unlock proprietary data in faster, better and more trusted ways
Digital Catapult Mission
Data from Internet of
Things devices
Personal Data
Data with ownership
rights
Closed Organisational
Data
Where does “our” data come from?
Pit Stops Hands-on help with specific issues around growth and scaling from our network of high-calibre experts Intense experience over two days 10-30 growing companies, deep technical experts, academics and students, larger corporates
Open Innovation at the Digital Catapult
Co-creation workshops
Bring together relevant stakeholders to identify problems, better scope them, design solutions
The commercial benefits of a personal data sharing eco-system
• Personal data flows are the nervous system of any consumer facing business, they trigger the muscles to move when acquisition, cross-sell or churn events are identified.
• As data becomes more abundant, this will be ever more critical to how “core businesses” compete in the future
• Being timely and relevant reduces waste and cost, “50% of my marketing budget is wasted….” etc
• Above all, it enables a better customer experience because organisations can be more responsive to their customers needs
The opportunity is horizontal…
Vertical = Limited use cases e.g fraud Horizontal = Many use cases
For example:
• Mobile phone data to alert social care if patient is unexpectedly idle
• Shopping data maybe used to inform healthcare advice
• Bank data to inform targeting of retail offers e.g “bought broadband 12 months ago…so”
What individuals think about personal data?
• Consent • 65% are insure if data is shared without their consent
• Responsibility • 30% felt it was their own responsibility to understand personal data issues
• 31% see organizations that hold data as responsible for its protection
• Protection • 29% felt they had responsibility to protect their own information
• Understanding • 38% don’t know what ‘personal data’ means, but 96% claim to
* http://tinyurl.com/q2n6e2w
How much consumers trust organisations?
• Most trusted • 44% of consumers trust the public sector most with their personal data
• Lack of clarity • 30% feel the retail sector is not clear on how use their personal data
• Least trusted • 2% choose telecoms as the most trusted sector
• Nervous sharing • 60% feel uncomfortable sharing personal data
• Loosing control • 76% primary concern: no control over how its shared or who with
* http://tinyurl.com/q2n6e2w
Benefits of personal data sharing
• Greedy Companies • 79% think organisations use data only for their monetary gain
• Overall financial benefit • £15bn untapped wealth for UK consumers
• The incentive to share • 30% of consumers believe “to improve services and benefit” is the most important
incentive for sharing personal data
• How to incentivise • 43% said the main incentive for sharing personal data is if it was going to be used to
improve society
* http://tinyurl.com/q2n6e2w
Breaking down the barriers
Building Trust:
Removing Friction: Need to solve three sources of friction: Technical: How to define and physically transfer the data Legal: How to establish the users identity and assert
permission within each siloed system Commercial: How to agree the price of access/transfer
Need to empower the customer: Ethics: Recognise & respect the consumer’s wishes Control: Give tools/dashboards to enable real control Compliance: Verify orgs are sticking to the rules Communication: Kitemark for those in the ethical sharing club
Data Sharing & Trust Frameworks
Scheme Operator
Customer’s digital agent
The reliant party
The Attribute provider
The Scheme (rules)
Auditors
Use case pilots
Value with Policy
• Validated attributes in personal store • Automate DWP benefit calculation • Benefit issued as GovCoin • Expenditure aligned to policy
Anonymous marketing
• Enable the individual to create anonymous persona
• Use persona to target more relevant services to individual
Health and social care
• Inefficient due to lack of co-ordination between agencies
• Additional complexity of personal care budgets
• All agencies give data to patient • Patient controls sharing
Portable KYC
• Portable digital ID (Verify/bank KYC) • To be used at any bank for opening
and transferring accounts • Future applicability to other sectors,
taking out mobile phone contract etc
Evolution to “Operational Scheme” & “Lab”
Scheme Authority
Data Lab
Trust Framework
Initiative
• Tests TFI • 4 core use
cases • Sharing pilot
infrastructure and technologies
• Consumer permission based sharing
• Operational
system
• With oversight body
• Innovations
• Block chain and other tech
• Catapult, ATI, Corps and HMG
Steps to achieve this
Data Lab Scheme
Authority
Trust Framework
Initiative
1. Establish Scheme Authority, with a board representing the member constituencies 4. Use the tech trial learnings to help define the TF
2. Split the use cases between a small number of consortia 3. Run tech trials 5. Spin out consortia as Scheme Operators
Scheme Authority
Operational Management team
Founding members who protect articles
Statement of
community & interest
CIC Board
Community Interest Company as Scheme Authority • It’s job is to evolve the digital rules
and appoint auditors
• Needs to represent its members
• Key constituencies: • Consumers • Private sector • Public sector • Not for profits
• Establish as Not-for-profit
• Will establish entity as CIC by guarantee
Scheme Operator emergence
Big tent for relevant
tech suppliers
Consortia 1
Consortia 2
2-3 use cases
2-3 use cases
Facilitate them to form 2 consortia, each able to
deliver the Scheme Operator functionality
Convene tech companies who each have part of the Scheme Operator
functionality
Each consortia to trial a number of use cases
Successful consortia become
licensed by the Scheme
Authority
The road to “operational” Scheme Operator
Phase 2 Phase 3
Consortium 1
Consortium 2
Consortium 1
Consortium 3
Consortium 2
TFI - Operational
Phase1
Use case 1
Use case 2
Use case n
Consortia implement the assigned use cases
(defining APIs and standards)
Consortia test interoperability,
aligning APIs and standards
Scheme authority set up, lessons learned, standards and APIs
defined
Creating a user centric “Data Sharing Lab”
• The above “tech trials” process is an example of open innovation.
• We want to promote ongoing innovation in this Ecosystem:
• The consortia formation and use cases are an exemplars
• We will execute the use cases through a repeatable “open innovation Lab structure”
• The Lab will remain post trials and serve as the Scheme Authorities innovation capability, acting as a open hub connecting “innovators with problems owners”.
The Scheme Authority will work with the Catapult to start the Lab with with a number of founding partners
The Catapult brings…… • It’s a neutral entity, not-for-profit, spans private and public sectors
• Unique network of thousands of UK SME and academic innovators (inc PDTN)
• Unique partnership with Alan Turing institute for data (& block chain) research
• Unique national centre and network of local centers
• Home of IoTUK, huge cross-over with personal/closed data sharing
• Convenes a x-Gov data sharing round table
• Strong links to the TISA and OBWG projects
• Is an member of and are developing an engagement model with the OIX
The Catapult was founded by the HMG to promote innovation with closed data to facilitate growth in the UK digital economy
Systemic link between requirement, innovation and operation, for rapid scaling
Corporates and investors
Stakeholder defined
roadmap for innovation
required by corporates,
HMG & Consumers Technologies and platforms
SME innovators academics
Regulators, Government
LAB
Investment & integration with live operational
“Trust Framework” for
rapid scaling
The Lab
Government Corporates
Board of Founding partners
Members and Innovators
Scheme Authority
Project outcome • Iterate
• Integrate • Finance to scale
Data LAB
Org
Distributed ledger
Digital Catapult / Partners SME’s
Cap
abili
ties
Centralised and distributed data
Data exchange and trading
Verified attributes and identity
KY
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ocia
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Ano
nym
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Mar
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g
Pol
icy
with
Va
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Oth
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Use
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Pro
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cr
oss
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To Live Operating Environm
ent
In funnel
Lab method of operation
Phase 1 Phase 2 Phase 3
Pitstop 30+ selected
innovators 2 days
Development 3-5 selected innovators 1-3 months
Trials
The Lab selection innovators from its network in response to a client request. Holds 2 day innovation event with them & client
Key innovators are selected to work with client and Lab to develop solution
& Helps innovators product development
The Lab organises trials of the solution
& Helps innovators to define business model and GTM approach
PDTN: The Structure
• Over 500 members so far
• 9 core groups • Oxford Area • Health and Social Care
• Design • Legal and Regulation
• Social Innovation • Digital ID
• Corporate Transformation • PIM
• Economics
• We raise questions, trigger discussions, organize round-table, make impact, transfer knowledge
Want to know more?
http://www.digitalcatapultcentre.org.uk/open-calls/trust-framework/
http://www.pdtn.org
Thank you Digital Catapult Centre
101 Euston Road
London
NW1 2RA
Twitter: @DigiCatapult
Email: [email protected]
www.digitalcatapultcentre.org.uk