Reclaiming Unstructured Data: The Textual Warehouse for AI
Join renowned author and computer scientist Bill Inmon and Actian’s Chief Evangelist Ole Olesen Bagneux for a live conversation on the future of AI and the overlooked role of unstructured data.
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This is Episode 2 of Data, Explored, Actian’s webinar series spotlighting real conversations about the future of data, governance, and AI.
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About the Webinar
We live in an era dominated by AI, and it’s becoming increasingly clear that unstructured data, particularly text, plays a vital role in training, enhancing, and scaling intelligent systems.
In this session, we’re joined by Bill Inmon, widely recognized as the father of the data warehouse. In recent years, Inmon has introduced a concept that may prove the secret key to enterprise AI success: the textual warehouse.
Just as the data warehouse once evolved from a niche idea to a foundational architecture, the textual warehouse—first introduced in Turning Text Into Gold (2017) and expanded in The Textual Warehouse (2021)—is gaining new relevance in the age of generative AI, conversational interfaces, and agentic applications.
Where is modern data management heading? What role will unstructured data play in enabling trustworthy AI? And how do you turn messy textual input into structured, usable knowledge?
Join us to explore how the textual warehouse transforms content into enterprise-ready input for AI, and why now may be the perfect time to take notice.
Who Should Attend
- Data- & Information managers and leaders
- Data & AI engineers
- Data architects and platform teams
- Metadata and governance professionals
- Enterprise data strategists and product owners
- Anyone building or maintaining AI-ready data platforms
Featured Speakers
Bill Inmon
The Father of Data Warehousing
Bill Inmon is an American computer scientist and author of several highly influential books on data architecture and technology. He has shaped the global data & AI community for decades with his outstanding capacity to conceive and communicate relevant architectures for industries around the world. Already known as an authority on everything structured data, Bill has, in recent years, moved towards providing advice on unstructured data–text.
Ole Olesen-Bagneux
Chief Evangelist, Actian and O’Reilly Author
Ole Olesen-Bagneux is a globally recognized thought leader in metadata management and enterprise data architecture. As VP, Chief Evangelist at Actian, he drives industry awareness and adoption of modern approaches to data intelligence, drawing on deep expertise in data catalogs, decentralized architectures, and metadata frameworks. Ole is the best-selling author of Fundamentals of Metadata Management (O’Reilly, 2025), which introduces the novel Meta Grid architecture, and The Enterprise Data Catalog (O’Reilly, 2023). With a PhD in Library and Information Science from the University of Copenhagen, his unique perspective bridges the fields of information science and modern data management.
Guest Panelists
Jessica Talisman
Information Architect
Jessica is an expert in information architecture, taxonomy, and ontology, with over 25 years of experience designing data frameworks that drive clarity, interoperability, and machine learning. With a Master’s in Library and Information Science (Informatics) and a Micro Masters in Design Thinking, she specializes in building structured, scalable systems that enhance user experience and business value. Passionate about data-driven solutions, she applies rigorous research and industry standards to bring meaning and context to complex information ecosystems.
Shweta Shah, Ph.D.
Chief Data Architect
Shweta is an enterprise architect and AI strategist with over 15 years of experience designing intelligent, scalable systems that bridge technology, business, and governance. With a PhD focused on AI-enabled transformation, she brings a model-based approach to architecting data platforms, knowledge graphs, and generative AI frameworks. Shweta specializes in helping organizations embed trust, value, and long-term sustainability into every layer of their data and AI strategy.