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Fachgebiet Datenbanksysteme und InformationsmanagementBIFOLD Colloquium 2022/04/04

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BIFOLD Research Colloquium "Intelligent Data Assistants: Democratizing Data Access" by Georgia Koutrika (Athena Research Center Greece)


Title: "Intelligent Data Assistants: Democratizing Data Access"

Speaker: Georgia Koutrika (Athena Research Center Greece)

Venue: Virtual event

Registration: If you are interested in participating, please contact coordination@bifold.berlin.


Data is considered the 21st century’s most valuable commodity. Analysts exploring data sets for insight, scientists looking for patterns, and consumers looking for information are just a few examples of user groups that need to access and dig into data. Nevertheless, despite technological advances in the data exploration and data management domains, existing systems are falling behind in bridging the chasm between data and users, making data accessible and useful only to the few.

Imagine a system that allows users to dig into data and find answers by conversing and collaborating with the system, as if it were a human. Such intelligent system would enable interaction using natural language, would understand the data as well as the user intent, would guide the user, and make suggestions, and altogether help the user leverage data for all sorts of purposes (from finding answers to questions to revealing patterns and finding solutions to problems) in a more natural way. These systems, which we call intelligent data assistants, are much more complex than any “digital assistant” we know of today, which are based on pre-specified dialogues and can answer simple questions. They require the synergy of several technologies and innovation in all these fronts, including natural language interfaces, data exploration, conversational AI, and data management.

In this talk, I will give an overview of our efforts and challenges behind our intelligent data assistant Datagent.


Georgia Koutrika is a Research Director at Athena Research Center in Greece. She has more than 15 years of experience in multiple roles at HP Labs, IBM Almaden, and Stanford. Her work emerges at the intersection of data management, natural language processing and deep learning and focuses on intelligent and interactive data exploration, conversational data systems, and user-driven data management. Her work has been incorporated in commercial products, described in 14 granted patents and 26 patent applications in the US and worldwide, and published in more than 100 papers in top-tier conferences and journals.

Georgia is an ACM Senior Member and IEEE Senior Member. She is a member of the VLDB Endowment Board of Trustees, member of the PVLDB Advisory Board, member of the ACM-RAISE Working Group, co-Editor-in-chief for VLDB Journal, PC co-chair for VLDB 2023, co-EiC of Proceedings of VLDB (PVLDB). She has been associate editor in top-tier conferences (such as ACM SIGMOD, VLDB) and journals (VLDB Journal, IEEE TKDE), and she has been in the organizing committee of several conferences including SIGMOD, ICDE, EDBT, among others.

She has received a PhD and a diploma in Computer Science from the Department of Informatics and Telecommunications, University of Athens, Greece.





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