Enterprise Wide Search

Actian

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.

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

    2d ago

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

    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 it, and whether it can be trusted. Together, they explore: What a data catalog really is, beyond simple asset discovery Why trust, context, and accountability matter as much as findability How AI is changing the role of catalogs for both human and non-human users Why large enterprises often end up with multiple catalogs, and why that is not necessarily a failure The idea of a “catalog of catalogs” as a pragmatic way to connect fragmented metadata ecosystems 🎧 Tune in for a conversation on metadata, governance, enterprise complexity, and why the future of data catalogs may be less about one perfect system and more about making many systems work together. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    26 min
  2. Enterprise Wide Search 34: Sune Selsbæk-Reitz - Promptism and the Fight for Meaning

    May 29

    Enterprise Wide Search 34: Sune Selsbæk-Reitz - Promptism and the Fight for Meaning

    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 discuss: Why prompting represents more than a technical skill, and may signal a broader cultural shift How large language models are changing our relationship with knowledge and truth Why “smooth” AI interfaces can weaken critical thinking and human judgment The role of friction, uncertainty, and hesitation in responsible AI design What enterprise leaders must rethink about governance, accountability, and decision-making in the age of generative AI Why humanities-inspired thinking may become increasingly important in AI-driven organizations The conversation also explores the origins of Sune’s book Promptism, the emerging concept of “ontological design,” and how enterprises can remain thoughtful and responsible while adopting increasingly fluent AI systems.🎧 Tune in for a philosophical and practical discussion on AI, meaning, human judgment, and what we risk losing when machines start sounding like they understand us. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    26 min
  3. Enterprise Wide Search 33: Carsten Bange - The Analyst View: Data Culture Matters More Than Ever

    May 15

    Enterprise Wide Search 33: Carsten Bange - The Analyst View: Data Culture Matters More Than Ever

    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 explore: Why data culture has become one of the most important success factors in enterprise AI The gap between technology investments and actual business adoption Why curiosity, leadership, and organizational change matter more than ever How enterprises are moving from AI hype toward rebuilding their data foundations What BARC’s latest research reveals about the relationship between data products and AI success They also discuss the growing realization that the biggest barriers to AI transformation are often not technical, but human.🎧 Tune in for a conversation on enterprise AI, data culture, analyst independence, and why successful transformation requires much more than new technology. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    32 min
  4. Enterprise Wide Search 32: Kierra Dotson - AI Changes Everything… Except the Fundamentals

    May 1

    Enterprise Wide Search 32: Kierra Dotson - AI Changes Everything… Except the Fundamentals

    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, they discuss: How the rise of AI is reshaping the data community, and why fundamentals still matter more than ever The difference between analytics-ready data and AI-ready data Why data governance and AI governance are more connected than most think The growing importance of architecture, trade-offs, and “strategic engineers” in an AI-driven world How shifts in infrastructure—from cloud to edge to on-prem—are being driven by cost, performance, and data sovereignty Kierra also shares practical advice for the next generation of data and AI professionals, from building meaningful projects to developing the business and architectural thinking that sets candidates apart.🎧 Tune in for a conversation on AI strategy, enterprise reality, and why mastering the fundamentals is still the best way to stay ahead. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    27 min
  5. Enterprise Wide Search 31: Ashleigh Faith - Making AI Understand What It Says

    Apr 17

    Enterprise Wide Search 31: Ashleigh Faith - Making AI Understand What It Says

    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 knowledge graphs are critical to making AI outputs more reliable and verifiable The most common mistakes teams make when building ontologies, and how to avoid them Why starting with use cases (not tools) is key to successful semantic models How AI can assist, but not replace, human understanding in ontology design The future of graph architectures, from large centralized graphs to domain-specific, contextual models 🎧 Tune in for a conversation on semantics, knowledge graphs, and why making AI smarter starts with making data more meaningful. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    29 min
  6. Enterprise Wide Search 30: Juha Korpela - The Rise of Semantic Data Work

    Apr 3

    Enterprise Wide Search 30: Juha Korpela - The Rise of Semantic Data Work

    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 semantics is shifting from a human concern to a machine requirement How AI is accelerating the need for structured, governed metadata at scale The resurgence of data modeling and conceptual thinking in modern architectures The challenge of managing semantics beyond individual solutions and at the enterprise level How community-driven initiatives like the Helsinki Data Week are shaping the future of data practice 🎧 Tune in for a conversation on metadata, meaning, and why semantic data work is becoming essential to making AI actually work in the enterprise. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    30 min
  7. Enterprise Wide Search 29: Bjørn Broum - Data That Saves Lives

    Mar 20

    Enterprise Wide Search 29: Bjørn Broum - Data That Saves Lives

    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, architecture, and strategy to help modernize how data is used across the public authority, which operates with a powerful mission: Vision Zero, eliminating road fatalities by 2050. Together, they discuss: What it takes to build a data-driven culture in a large public authority How sensor data, road geometry, and machine learning identify dangerous locations Why reducing fatalities requires integrating analytics with engineering expertise The role of real-time data in future traffic systems How AI may reshape data engineering and move intelligence closer to operational systems 🎧 Tune in for a conversation about data, infrastructure, and how analytics can shape safer societies. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    27 min
  8. Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise

    Mar 6

    Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise

    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 trust. Together, they explore: Why “agentic BI” needs an operating system, not just a chat interface How semantic layers and knowledge graphs make AI analysis reliable Why AI-native teams move differently, and how process can kill speed The shift from “ask questions” to proactive insights that surface themselves The emerging role she calls “guardians of meaning” for enterprise data 🎧 Tune in for a conversation on the future of BI, meta-functional teams, and what it takes to connect data foundations with agentic outcomes. Hosted on Ausha. See ausha.co/privacy-policy for more information.

    27 min
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About

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.

Information

  • Creator
    Actian
  • Years Active
    2024 - 2026
  • Episodes
    40
  • Rating
    Clean
  • Copyright
    © Ole Olesen-Bagneux
  • Show Website
    Enterprise Wide Search

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