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European Data Incubator
Federation of data services to foster the
adoption of data-driven AI in Europe
Dr. Diego López-de-Ipiña, University of Deusto
BDV PPP SUMMIT, June 26-28 2019, Riga, Latvia

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Towards adoption of data-driven AI:
departure point
• Many companies/organizations own data, BUT do not know
how to exploit it …
• Startups/SMEs are starving for the data assets necessary to
provide value-added services …
• Close the gap!!! in technological, legal and business terms,
among companies providing data, companies consuming data,
and companies providing data solutions, applications and
tools

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Towards adoption of data-driven
AI: what do we need?
• Promote Data Economy Enabling Workflows through open
general-purpose federated data marketplaces where
companies could:
1. offer their raw data
2. promote their data services in order to enrich others’ raw data and
3. consume data from other companies

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Towards Federated Data
Marketplaces: Features to meet
• Integration of different data sources & marketplaces, data
sinks and data services in a decoupled and modular way
• Assurance of data sovereignty, offering clearing and
settlement services
• Proper regulation of GDPR-compliant data sharing in clearly
defined contracts
• Provide different models of business interactions in order to
engage all the stakeholders in the creation of new business
possibilities.

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DeustoTech – University of Deusto
• University of Deusto (Bibao, ES) is the coordinator of
EDI – European Data Incubator project.
– We are co-responsible of the supply of the Big Data Stack
infrastructure which is supplied to the companies that take
part in our Big Data incubator.

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EDI – European Data Incubator
1st January 2018 – 30th June 2021
7,721,340.00 (cost) – 7,142,856.76(EU contribution)
20 partners from 10 countries
Core consortium partners Consortium data providers

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EDI: Infography

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EDI Incubation Process
• 3 rounds of incubation, sub-grantees have 8 months
for incubation
– EXPLORE (2 months), EXPERIMENTATION (4 months) and
EVOLVE (2 months) phases

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Services offered by EDI
• EDI aims to give place to data-driven real-world AI solutions
by bringing together:
– Data providers – which huge amounts of private data but without time or
knowledge to enable decision-making processes
– Solution providers – startups and SMEs which have the AI and Big Data
infrastructure knowledge to extract information out the corporates data.
• EDI removes the barriers encountered by small Big Data
companies:
– A free cloud environment for scalable data processing
– Datasets provided from European corporates in different sectors
– Free business coaching and technical support
– Training through dedicated workshops and remote sessions
– Up to € 100,000 in equity-free funding

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1st Incubation round
Summary
1. Published 14 challenges from 10
companies in Open Call 1
– 5 specific domains: Energy &
Environment, Internet & Media,
Smart Cities, Industry 4.0 and Retail.
– Cross-sector challenge: “Discovery
of cross-sector related data”
2. 30 teams qualified for EXPLORE stage
(2 months)
– Defended mock-up and business
model in Datathon
3. 16 teams for EXPERIMENT stage (4
months)
– Defended MVP and business plan in
Bilbao
4. 6 teams qualified for EVOLVE stage (2
months)
– Defended market proposition in
Berlin

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Conclusions
• EDI is configuring as a Big Data DIH + company
builder:
– Fosters Big Data Innovation by connecting
corporations & EU-startups
• Leverages corporations’ unexploited assets (data) for
new business opportunities
• Offers technical and business coaching and mentoring
• Links with corporate venture capital to facilitate
investments
• Helps boosting European Data Economy

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Thank you!
www.edincubator.eu