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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

technology

All Episodes

28:04

Enterprise Wide Search 40: Vanessa Andersson - AI...

Enterprise Wide Search ·

2026/10/02

In this episode, Ole Olesen-Bagneux sits down with Vanessa Andersson, Senior Data Engineer and founder of Data & AI Stockholm, to explore what the rapid evolution of AI looks like from the perspective of a practitioner working directly with it.With a background that spans marketing, management, programming, and data engineering, Vanessa brings a grounded perspective to an industry moving at extraordinary speed. As organizations move beyond their first AI experiments, she sees the conversation

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30:17

Enterprise Wide Search 39: Ben Mathew - Why AI Won’t...

Enterprise Wide Search ·

2026/09/18

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Ben Mathew, General Manager of Business Intelligence at Actian and former GM of Jaspersoft, to explore how business intelligence is evolving in the age of AI.With more than 20 years in enterprise software and two decades of experience in the BI space, Ben looks back at how business intelligence evolved from static reporting to analytics. And why, despite decades of investment, the promise of truly self-service BI has

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26:49

Enterprise Wide Search 38: Mariana Hebborn -...

Enterprise Wide Search ·

2026/09/04

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Mariana Hebborn, Global Head of HR AI & Data Governance at Merck, to explore what it really takes to move AI from experimentation into the enterprise.With a background in computational linguistics and semantics, Mariana has spent her career at the intersection of data, technology, and business. Today, she is applying that experience to one of the most sensitive and consequential areas of enterprise data: HR, where, as

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31:00

Enterprise Wide Search 37: Lulit T, Joe H & Zach W -...

Enterprise Wide Search ·

2026/07/10

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

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26:35

Enterprise Wide Search 36: Xavier Gumara Rigol - When...

Enterprise Wide Search ·

2026/06/26

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

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25:42

Enterprise Wide Search 35: Samuel Bitrus - The...

Enterprise Wide Search ·

2026/06/12

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.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

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25:34

Enterprise Wide Search 34: Sune Selsbæk-Reitz -...

Enterprise Wide Search ·

2026/05/29

In this episode, Ole Olesen-Bagneux sits down with Sune Selsbæk-Reitz, Data & AI Strategist at Demant and author of Promptism, for a conversation on how generative AI is reshaping the way humans interact with knowledge, meaning, and decision-making.Drawing from his background in data strategy, philosophy, history, and writing, Sune explores why the real challenge of AI may not be hallucinations or technical limitations, but the growing tendency to mistake fluency for understanding.Together, they

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31:31

Enterprise Wide Search 33: Carsten Bange - The...

Enterprise Wide Search ·

2026/05/15

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Carsten Bange, founder and CEO of BARC, one of Europe’s leading analyst firms focused on data, analytics, and AI.With more than 25 years advising enterprises on data strategy, analytics platforms, and organizational transformation, Carsten shares an independent analyst perspective on why so many data and AI initiatives still struggle to deliver business value, despite massive investments in technology.Together, they

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27:00

Enterprise Wide Search 32: Kierra Dotson - AI Changes...

Enterprise Wide Search ·

2026/05/01

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Kierra Dotson, Associate Director of Data Science & AI Strategy at Further, keynote speaker, and thought leader known for helping enterprise leaders build AI strategies that actually deliver value.Working at the intersection of data, AI, and operations, Kierra advises Fortune 500 executives on how to move beyond experimentation—designing AI initiatives that are scalable, trustworthy, and worth talking about.Together,

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28:32

Enterprise Wide Search 31: Ashleigh Faith - Making AI...

Enterprise Wide Search ·

2026/04/17

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Ashleigh Faith, Director of AI and Semantic Innovation at EBSCO and creator of the IsA DataThing YouTube channel, to explore why knowledge graphs and ontologies are becoming essential in the age of AI.From her early days as a taxonomist to her role as a leading voice in semantic technologies, Ashleigh explains why structuring meaning—not just data—is what makes AI outputs trustworthy and usable.Together, they discuss:Why

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29:31

Enterprise Wide Search 30: Juha Korpela - The Rise of...

Enterprise Wide Search ·

2026/04/03

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Juha Korpela, independent consultant and co-founder of Helsinki Data Week, to explore why semantics is rapidly becoming a core pillar of modern data work.Drawing on his experience in data modeling, metadata management, and enterprise architecture, Juha shares how topics once considered “soft”—like meaning, context, and conceptual models—are now becoming critical infrastructure in the age of AI. Together, they discuss:Why

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27:24

Enterprise Wide Search 29: Bjørn Broum - Data That...

Enterprise Wide Search ·

2026/03/20

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Bjørn Broum, Director of Business Development for Technology, Architecture, and Data at the Norwegian Public Roads Administration (NPRA), to explore how data strategy works inside one of Norway’s largest public infrastructure organizations.With more than 30 years of experience in the data space—and after helping launch the organization's data-driven transformation as CDO—Bjørn now works at the intersection of technology,

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27:25

Enterprise Wide Search 28: Amra Dorjbayar - Designing...

Enterprise Wide Search ·

2026/03/06

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Amra Dorjbayar, former co-founder and CEO of Wobby (recently acquired by Actian), to unpack what Agentic BI really means and why the next wave of analytics won’t look like dashboards, reports, or even chatbots.Amra shares the moment in late 2022 when he realized LLMs could change how people work with data, why he left data journalism to build Wobby, and what it takes for AI agents to generate insights you can actually

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31:36

Enterprise Wide Search 27: Malcolm Hawker - The Data...

Enterprise Wide Search ·

2026/02/20

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Malcolm Hawker, Chief Data Officer at Profisee and author of The Data Hero Playbook, for a conversation about why so many data programs stall, even when teams follow the “right” playbook.Drawing on years of conversations with data leaders (including his time as an industry analyst), Malcolm argues that what sets successful CDOs apart is rarely technology. It’s a mindset. Along the way, he shares his contrarian take on data

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24:53

Enterprise Wide Search 26: Ruud Kuil - The Exact ROI...

Enterprise Wide Search ·

2026/02/06

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Ruud Kuil, longtime data quality expert and now co-founder of MAD-Quality, to discuss what really breaks in organizations when data is wrong and why fixing it requires rethinking both tooling and incentives.After 15+ years advising enterprises on data quality, Ruud took the plunge into startup life to build a platform that shows the real cost of bad data. In conversation, he explains why the “AI will fix data” myth

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22:24

Enterprise Wide Search 25: Frédéric Verhelst - From...

Enterprise Wide Search ·

2026/01/23

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Frédéric Verhelst — a leading voice in semantic technologies and agentic AI, and longtime semantic web advocate — for a practical dive into ontologies, knowledge graphs, and why they matter more than ever in an AI-first world.From his early work with TotalEnergies to today’s experiments in integrating AI into digital service platforms, Frédéric brings clarity and historical depth to a topic many still find

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23:46

Enterprise Wide Search 24: Mario Meir-Huber -...

Enterprise Wide Search ·

2026/01/09

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Mario Meir-Huber — author of Designing Data Products and longtime data leader — to talk about what happens when you stop treating data like a one-time project and start managing it as a product that evolves.Mario shares the (literal) honeymoon moment that sparked the book, and explains why great data products require more than architecture. They need governance, people, and a design mindset built for continuous

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29:38

Enterprise Wide Search 23: Jovita Tam - The Lawyer...

Enterprise Wide Search ·

2025/12/19

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Jovita Tam, a business-focused data and AI advisor and attorney, about the hard truths of AI, governance, and organizational change.Known for connecting legal, technical, and cultural perspectives, Jovita shares what it really takes to align strategy with execution — and why AI success has more to do with mindset than with models.Together, they explore:Why “data culture” is just culture — and why it’s so difficult to get

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35:00

Enterprise Wide Search 22: Gaëlle Seret - Domains...

Enterprise Wide Search ·

2025/12/05

In this episode, Ole Olesen-Bagneux is joined by Gaëlle Seret, product leader, writer, and enabler of data transformations at scale. Known for her clear-eyed writing on Substack, Gaëlle brings a mix of operational pragmatism and strategic depth to the question of what it really takes to build data-driven organizations.Drawing from hands-on experience across finance, energy, and retail, Gaëlle reflects on the invisible labor behind good data work — and why transformation always starts with the people

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17:51

Enterprise Wide Search 21: Frédéric Robert - Will MCP...

Enterprise Wide Search ·

2025/11/21

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Frédéric Robert, Innovation and Data Advisory Director at Apgar, to unpack one of the most intriguing questions circulating in the data community: what happens to the data marketplace now that MCP (Model Context Protocol) is here?Drawing on nearly two decades across master data, governance, and AI programs, Frédéric shares a practitioner’s view on how organizations actually access, curate, and operationalize data — and why

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