Martin Serrano

Senior Research Fellow - UIoT Research Unit Director, i3-MARKET

Dr. Serrano is a recognized Research Data Scientist with more than 15 years experience in industry and applied research on Semantic Interoperability and Distributed Data Systems. He is a continuous contributor to the Scientific, Research and Innovation agenda for Europe and with a wide range of successful (EUFP5-FP7/H2020) collaborative projects, Irish (HEA PRTLI, SFI) and also Enterprise Ireland (EI) innovation projects. Dr. Serrano is the coordinator of the EU-H2020 i3-MARKET project (www.i3-MARKET.eu), the Data Management, IPR & Analytics Manager and leader on research activities in the EU-H2020 ActivAge Large Scale Pilot (www.activageproject.eu) and he plays a relevant role as the scientific manager at the INFINITECH project (www.infinitech-h2020.eu). Dr. Serrano is an active member of IEEE (Computer and Communication Societies) and ACM with more than 100 pair reviewed publications and He is the author of 4 academic books in related areas.

Martin is speaking at

Sponsored talk
November 4, 2020
1:30 pm - 2:00 pm

Speaker

  • Martin Serrano (Sponsor speaker) Senior Research Fellow - UIoT Research Unit Director, i3-MARKET

Description

Digital Single Market is a central part of the European Commission strategy, which aims to make the EU's markets diversity converge into a single market fit for the digital age – Digital Single Market has the challenge of tearing down regulatory walls and moving from 28 national markets to a single one. According to the European strategy it is estimated that establishing a Digital Single Market in Europe could contribute €415 billion per year to our economy and create hundreds of thousands of new jobs. Tools and technologies for the Big Data market yet need to be created and deployed following this single market strategy. The H2020 i3-MARKET project objective is to develop software tools in the form of a support framework that provides the lacking technologies for trusted, interoperable and decentralised marketplaces for industrial and personal data.

In this talk we will review the requirements that will facilitate the leverage of the European Data Market economy by at the same time propose innovative solutions. We will include the use of blockchain-related technology, the semi-autonomous smart contract generation for managing data operations and transactions and will emphasize the use of encrypted-based technologies for data protection. We will address how these technologies and approaches could be used for enabling the diversity of data markets integration and at the same time how the combination of them can be considered a systematic approach for developing a set of technologies for trusted, decentralised support towards contributing in the implementation of the single digital market strategy.

It is well known that despite various research and innovation attempts working on Big Data Management, of Personal and or Industrial Data Integration and Security, there is no broadly accepted trusted and secure data marketplace. This talk is hold in the context of the work being carried within the H2020 i3-MARKET project. i3-MARKET is addressing one of the main needs in the data marketplaces space which is the development of lacking technologies and solutions for a trusted (secure, self-governing, consensus-based and auditable), interoperable (semantic-driven) and decentralised (scalability) infrastructure. i3-MARKET is defining a support framework named i3-MARKET Backplane, that will enables federation via interoperability of the existing and future emerging data spaces and marketplaces. The i3-MARKET backplane introduces data monetization in the form of Intelligent Data Economy services to formerly closed systems to offer and share data and lowering the market entry barriers for stakeholders to trade their data assets with the aim to ignite a flourishing data economy that fosters innovation and business in Europe.

For more information on the i3-MARKET project visit: https://www.i3-market.eu/ 

Application Track 3 - Data Driven AI solutions
November 5, 2020
1:45 pm - 3:30 pm

Speakers

Description

Availability of data for financial services is key to unleash the potential of Artificial Intelligence technologies: the INFINITECH project, lighthouse EU H2020 project, approaches application deployment by leveraging on testbeds and sandboxes. The session will explore the importance of data-driven AI for the financial sector by comparing the highly innovative and revolutionary world of Fintech companies with Financial Institutions, conservative and resistant to digital transformation and technology disruption. The session will cover topics related to Open Innovation Hubs and acceleration programs, to highlight the importance of innovation and the opportunities of Fintechs. Moreover, the scope of the Whitepaper of the Task Force “AI and Big Data for the Financial Sector” will be presented, emphasizing market trends, vision, and the innovation impact of novel technologies on the financial sector. The session will end showing real-life scenarios from the Banking Sector.

Objectives:
- Infinitech impact and the mapping with the task force objectives
- Flagship project results and impact
- The role of sandboxes and testbeds
- Fintech perspective on innovation
- Open innovation hub and VDIH
- Findings of the AI Hub and the relation between Banks and AI
- Banks real applications and scenarios
- Cross-available solution for the banking sector

The AI Hub led by ABI Lab will bring valuable insights from the banking sector and more specifically the most important areas for R&D in Italian Banks.

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