As the hype for AI grows, organizations are still wrestling with the fundamentals of data governance. The ambitions of executives and boardrooms to implement next-gen AI use cases hinges on a solid data foundation including cataloging, ownership, and data quality. Join Collibra’s Chief Data Citizen, Stijn Christiaens and Vodafone’s Sr. Data Governance Manager, Fede Frumento, to learn how Vodafone has used data governance fundamentals to increase the scalability and collaboration of GenAI use cases.
talk-data.com
Speaker
Stijn 'Stan' Christiaens
2
talks
Co-founder
Collibra
Stan leads Collibra’s Data Office and is responsible for overall data strategy, data infrastructure and translating internal learnings into value for our customers and partners. He is also Collibra’s product evangelist and drives future innovation. Previously, Stan launched various departments within Collibra including Product, Presales, Postsales, Partnerships, Marketplace, and Research and Education. Prior to cofounding Collibra, he was a senior researcher at the Vrije Universiteit Brussel, where he focused on application-oriented research in semantics. Stan holds a Master's of Science degree in Information Technology, a Master’s degree in Artificial Intelligence from Katholieke Universiteit Leuven and a Postgraduate in Industrial Corporate Governance from Europese Hogeschool Brussel. He is a sought-after expert resource, industry speaker and author on the topic of Data Intelligence.
Bio from: Big Data LDN 2024
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with
Parul Mishra
,
Anupam Datta
,
Mike Ferguson
(Big Data LDN)
,
Rahul Pathak
,
Stijn 'Stan' Christiaens
(Collibra)
,
Marc Geall
(SAP)
In this flagship Big Data LDN keynote debate, conference chair and leading industry analyst Mike Ferguson welcomes executives from leading software vendors to discuss key topics in data management and analytics. Panellists will debate the impact of Generative AI, the implications of key industry trends, how best to deal with real-world customer challenges, how to build a modern data and analytics (D&A) architecture, how to manage, produce, share and govern data and AI, and issues on-the-horizon that companies should be planning for today.
Attendees will learn best practices for data and analytics implementation in a modern data-driven enterprise from seasoned executives and an experienced industry analyst in a packed, unscripted, candid discussion.