Enterprise Wide Search

You’re listening to Enterprise Wide Search — powered by Actian.Hosted by Ole Olesen-Bagneux, Chief Evangelist at Actian, and now joined by Emma McGrattan, Actian’s CTO and global data leader, this show explores the often-overlooked challenge at the heart of modern enterprises: finding and making sense of data.Why is it still so hard to search across systems and uncover the data you need to do your job? Ole is obsessed with that question — and together with Emma, he speaks with authors, software inventors, data architects, industry leaders, and academics about the tools, processes, and ideas shaping the future of enterprise data search.From metadata to data intelligence, governance to AI-powered discovery — Enterprise Wide Search is your guide to navigating enterprise data's wild, tangled world.Hosted on Ausha. See ausha.co/privacy-policy for more information.

Enterprise Wide Search is a technology podcast hosted by Actian, with 42 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Actian hosts Enterprise Wide Search, a technology show with 42 episodes published.

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  Enterprise Wide Search

  Enterprise Wide Search 37: Lulit T, Joe H & Zach W - Why AI Needs Enterprise Semantics

  Jul 10, 202631 minS0

  <p>In this episode, Ole Olesen-Bagneux sits down with Lulit Tesfaye, Joseph Hilger, and Zach Wahl from Enterprise Knowledge to explore why the future of enterprise AI depends on connecting knowledge, data, and semantics.</p><p><br></p><p>Drawing from their new book, Bridging Knowledge, Data, and AI, they explain why organizations can no longer treat structured data, unstructured content, taxonomies, ontologies, glossaries, and knowledge graphs as separate disciplines. As AI pushes enterprises to make better use of context, meaning, and organizational knowledge, the need for a true semantic layer becomes more urgent than ever.</p><p><br></p><...

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  Enterprise Wide Search

  Enterprise Wide Search 37: Lulit T, Joe H & Zach W - Why AI Needs Enterprise Semantics

  Jul 10, 202631 min

  In this episode, Ole Olesen-Bagneux sits down with Lulit Tesfaye, Joseph Hilger, and Zach Wahl from Enterprise Knowledge to explore why the future of enterprise AI depends on connecting knowledge, data, and semantics. Drawing from their new book, Bridging Knowledge, Data, and AI, they explain why organizations can no longer treat structured data, unstructured content, taxonomies, ontologies, glossaries, and knowledge graphs as separate disciplines. As AI pushes enterprises to make better use of context, meaning, and organizational knowledge, the need for a true semantic layer becomes more urgent than ever. Together, they explore: Why Enterprise Knowledge was created, and how its mission has evolved What a semantic layer really is, beyond vendor diagrams and buzzwords Why knowledge assets include much more than structured data How taxonomies, ontologies, business glossaries, and knowledge graphs work together Why AI is forcing data, IT, and knowledge teams to collaborate in new ways The risks of competing semantic layer initiatives inside the same organization 🎧 Tune in for a conversation on semantics, enterprise knowledge, AI readiness, and why the next phase of data work depends on bridging the silos that organizations have built for decades. Hosted on Ausha. See ausha.co/privacy-policy for more information.

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  Enterprise Wide Search

  Enterprise Wide Search 36: Xavier Gumara Rigol - When Data Becomes a Product Driver

  Jun 26, 202627 minS0

  <p>In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Xavier Gumara Rigol, author of Data as a Product Driver and Head of Data at Manychat, to explore what happens when data moves beyond reporting and becomes part of how product teams make decisions.</p><p><br></p><p>Drawing on more than 15 years in data, engineering, and platform leadership, Xavier explains why treating data as a product is only part of the story. The bigger challenge is helping product organizations become truly data-informed, from idea validation and experimentation to ownership, prioritization, and lifecycle management.</p><p><...

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  Enterprise Wide Search

  Enterprise Wide Search 36: Xavier Gumara Rigol - When Data Becomes a Product Driver

  Jun 26, 202627 min

  In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Xavier Gumara Rigol, author of Data as a Product Driver and Head of Data at Manychat, to explore what happens when data moves beyond reporting and becomes part of how product teams make decisions. Drawing on more than 15 years in data, engineering, and platform leadership, Xavier explains why treating data as a product is only part of the story. The bigger challenge is helping product organizations become truly data-informed, from idea validation and experimentation to ownership, prioritization, and lifecycle management. Together, they explore: Why Data as a Product Driver is not just another book about data products What data teams can learn from product management, and what product teams need to understand about data Why centralized data teams often become bottlenecks as organizations grow How embedding analysts and data scientists into product teams changes decision-making What good looks like when product teams use data for discovery, experimentation, and outcomes Why product mindset matters when deciding what data products to build, maintain, or retire 🎧 Tune in for a conversation on data, product thinking, and how organizations can move from building data assets to using data as a driver of better product decisions. Hosted on Ausha. See ausha.co/privacy-policy for more information.

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  Enterprise Wide Search

  Enterprise Wide Search 35: Samuel Bitrus - The Catalog of Catalogs

  Jun 12, 202626 minS0

  <p>In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Samuel Bitrus, Data Quality and Governance Manager at Lufthansa Group, to explore the evolving role of data catalogs in large, complex enterprises.</p><p><br></p><p>Drawing from his work across governance, metadata, and trust, Samuel explains why data catalogs are no longer just inventories of data assets. They are becoming critical context layers that help both humans and AI systems understand what data means, where it comes from, who owns it, and whether it can be trusted.</p><p><br></p><p>Together, they explore:<...

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