Generative AI for data and knowledge engineering
Generative AI, and in particular Foundational Models such as Large Language Models (LLMs), hold immense potential to transform how we collect, manage, and access both structured and unstructured data. This session will explore the revolutionary capabilities of these technologies, including:
- Natural Language Interfaces: Discover new opportunities for interacting with complex and heterogeneous data volumes through intuitive natural language interfaces.
- Efficiency in Data Tasks: Learn how LLMs can streamline tedious and costly tasks such as entity linking, reconciliation, and the construction and population of knowledge graphs.
We will spotlight current initiatives in the field, showcasing the latest results from European research and innovation projects. Additionally, we’ll present examples demonstrating the business impact of these advancements.
A distinguished panel of representatives from both research and industry will discuss the challenges and future directions for data management in the era of foundational models.
Session Chair: Dimitru Roman, SINTEF (enRichMyData)
Session Moderator: Dessislava Petrova-Antonova, GATE Institute (enRichMyData)
- Session Agenda
13:30 – 13:35 – Intro and presentation of the speakers (Chair and Moderator)
13:35 – 13:45 – “Data enrichment and Generative AI”: Matteo Palmonari, University of Milan-Bicocca (enRichMyData)
13:45 – 13:55 – “Using Generative AI to improve entity matching”: Ian Makgill, Spend Network, (enRichMyData)
13:55 – 14:05 – “Intent-based data operation in the cognitive computing continuum, powered by decentralized GenAI agents”: Giada Landi, Nextwork (INTEND)
14:05 – 14:15 – “LLMs and the World’s Data Commons”: Elena Simperl, King’s College, London
14:15 – 14:25 – “Smart security orchestration, automation and response with the assistance of GenAI-based avatars”: Wissam Mallouli, Montimag Company (DYNABIC)
14:25 – 14:35 – “Unlocking Industry 4.0: Combining Knowledge Graphs and Large Language Models for Smarter Retrieval-Augmented Generation”, Klemen Kenda, Jožef Stefan Institute (HumAIne)
14:35 – 14:55 – panel discussion
14:55 – 15:00 – Wrap up and close
