EDI's view on Digital Innovation Hubs Working Group Meeting on Big Data and Artificial Intelligence
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The document discusses the European Data Incubator (EDI) initiative aimed at fostering big data innovation by connecting startups with corporations to address business challenges. It outlines the benefits for both startups and corporates, highlights the services offered, and identifies key bottlenecks in leveraging data for business models. Additionally, it emphasizes the importance of cross-border data sharing and collaboration among digital innovation hubs.
EDI's view on Digital Innovation Hubs Working Group Meeting on Big Data and Artificial Intelligence
- 1. v Digital Innovation Hubs Working Group Meeting on Big Data and Artificial Intelligence Brussels, 7th November 2018 Dr. Diego López-de-Ipiña González-de-Artaza Project Coordinator – University of Deusto/DeustoTech info@edincubator.eu http://www.edincubator.eu @edincubator
- 2. 2 EDI: European Data Incubator
- 3. 3 EDI Incubation Approach (I)
- 4. 4 EDI Incubation Approach (II)
- 5. 5
- 6. 6 What’s in for startups?
- 8. 8 Benefits for Corporates ▪ Access to top-level startups sorting out your business challenge at no cost*. ▪ Participation in the selection of the startups. ▪ Link with state-of-the-art data-based solutions for your business. ▪ Potential opportunities for investment or technology purchase. ▪ Be part of one of the biggest incubation and acceleration programmes in Europe. *No hidden fees. The EC finances EDI for this scouting and preparation for investment activites under H2020 programme budget.
- 9. 9 Open Call for Data Startups (2nd round)
- 10. 10 EDI’s ultimate goal ▪ Foster Big Data Innovation connecting corporations with top EU-startups. ▪ Leverage corporations’ unused assets (data) for new business opportunities. ▪ Link with corporate venture capital to facilitate investments. ▪ Build the future of the Data Market, boosting Data Economy
- 11. 11 EDI as a Digital Innovation Hub (I) • How has EDI helped companies to create new data-driven products and services? – So far 16 startups from 9 countries are addressing 10 challenges from 9 Data Providers in Europe, helping them into their Digital Transformation: • Energy sector: – Thermal power plant management – Detection of anomalies in smart meters – HVAC usage management and control optimization • Industry sector: – Predictive maintenance of robots • Retail: – Prevent fraud in cashiers • Transport/Smart Cities: – Pricing bundles for drivers in Porto – Improving road safety in Barcelona – Optimizing traffic flow in Berlin • Weather: – Quality control of weather forecast • Media: – Sentiment analysis in consumer journey
- 12. 12 EDI as a Digital Innovation Hub (II) • What are the services most demanded by the companies? – Hard to say, only progressed into 2nd stage of incubation (EXPERIMENT) but … • For startups: – Access to good quality datasets from big corporations which are well documented/explained from Data Providers – Opportunity to showcase the potential of their solutions • For Data Providers: – Assurance dataset is not used beyond incubation programme – Opportunity to outsource creation of novel solutions to their problems • What are the main requirements and bottlenecks in helping companies to use data as the base for their new or improved business models/products/services? – Many companies have the data and knowledge domain but not the data analysis skills – Others have Data Science skills and open mind but lack access to datasets and knowledge on domain – Data providers afraid that they may lose control of data – Need to establish agreements between both sides – Lack of Data and AI culture in companies
- 13. 13 EDI as Digital Innovation Hub (III) • How an EU-level network of big data innovation hubs could leverage the work done by the local DIHs in breaking the “data silos” and in fostering cross-border data sharing and re-use and trading of data assets? – Need not only for Datasets Marketplaces but also for Data Solutions – Huge opportunities from linking data from different sectors • EDI will address this by giving more importance to cross-domain/open challenges where datasets coming from outside can be used • Are there any concrete examples showing the added value of a collaboration between the current big data / AI initiatives and the Digital Innovation Hubs? – Our only experience is that FIWARE community startups have also applied for EDI and some have actually qualified for next phase • Are there any ideas on how to make such collaborations easier? What are the incentives for collaboration? – Self-benefit, data needs solutions, solutions need data
- 14. v Thanks a lot! This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779790 info@edincubator.eu