TRUSTS Datamarket – Use Cases in Trustless Collaboration and Data Sharing
Are you a member of a data-driven company? Join our data market dialogue and use the opportunity to explore and discuss state-of-the-art use cases and their requirements towards data collaboration and trading.
- When? Wednesday, 03.11.21, 11:30am-1:30pm
- Where? Online via Hopin
The European TRUSTS Datamarket project creates a federated platform that enables secure data exchange between multiple open and proprietary data sources, access to capabilities for trustless data processing and collaboration, and trading of personal data or otherwise highly sensitive data.
11:30 Welcome & Keynote
European data strategy, emerging data spaces and data markets
Dr. Mark de Reuver, Section Head ICT, TU Delft
What are the latest developments related to the European data strategy? Should companies care, and how can they take advantage? This keynote sets the scene for our space dialogue: what is happening in Europe, what concerns do you as a business have, and do we know enough about those concerns?
12:05 TRUSTS Datamarket for Trusted Secure Data Sharing
Bert Utermark, Partner, Governance One Consulting
Brief introduction to the TRUSTS data market project and solutions for secure, distributed data collaboration
12:10 Interactive Use Case Breakout Sessions
Gianna Avgousti, R&D Project Manager, eBOS Technologie I Dr. Stefan Gindl, Research Studies Austria FG I Ioannis Markopoulos, Director Innovation & Project Management, Nova I Manos Paschalakis, Consultant, Relations Technologies I Christos Skoufis, Senior Project Manager, eBOS Technologies
All workshop breakout sessions will run twice, allowing participants to choose 2 topics
Smart big-data sharing and analytics for Anti-Money Laundering
Financial institutions, corporate audit departments, tax advisors and many more need to perform AML checks as a primary source of risk prevention. Within this session we discuss a use case which aims at improving the detection of financial crimes by leveraging the capabilities of the TRUSTS Platform as a ‘Trusted Secure Data Sharing Space’ by combining existing AML solutions enhanced with AI and ML algorithms and data sharing.
Agile marketing through correlation of anonymized data
Through correlating anonymized banking and telecommunications data and applying big data analytics techniques, within this session we discuss a use case which aims at supporting validation of how data for targeting profitable customers at a local level can be provided.
Customer Service Support through anonymized processing and visualisation
Automated chatbots enable cost-efficient customer self-service. This session will discuss an out-of-the-box analytics solution for the anonymisation and visualisation of Big Financial Data to enable customers to converse about the management of their debt at their own pace and with a personalized experience.
Federated Open Data Access with the European Open Science Cloud
The TRUSTS project researches and develops interoperability solutions for federation between industrial and open data spaces. This session will describe TRUSTS’s approach to facilitating access to open data in the European Open Science Cloud (EOSC) and discuss user requirements.
13:10 Discussion and Q&A
Collaborative data spaces vs data trading platforms