The John Lewis Partnership is building the foundation for AI success by creating a centralized, self-service data hub powered by Collibra. Through a collaborative governance framework, John Lewis Partnership is delivering trusted data products at scale, enabling faster, more confident decisions and strengthening oversight of AI initiatives.

In this session, you’ll learn:

• How JLP is overcoming fragmented, unreliable data with a single source of truth

• What drove adoption and business alignment for Collibra

• How trusted data products are accelerating AI readiness and governance

O'Reilly Author and Chief Evangelist, PhD Ole Olesen-Bagneux takes a deep dive into the challenges of metadata management in enterprises, and the great potential metadata represents for Artificial Intelligence. 

The reality of metadata management is – crucially – not properly addressed in most tech literature, as well as in the guidance from technology vendors. This is not a result of suspicious intentions, but a natural outcome of what is sought communicated: How technology works. 

However, this leaves out the enterprise context, and accordingly implementations of technologies suffer. For metadata, this is a problem that limits the potential and interplay of the many metadata repositories normally found in an enterprise. 

A great perspective unfolds if we consider metadata repositories more holistically as a stack, giving improved perception of what the IT landscape of an enterprise is truly like. 

Furthermore, this approach solidifies how to craft new metamodels in knowledge graphs, because they meticulously consider the existing mappings of the IT landscape. 

This is the key to unparalleled solid context for Artificial intelligence. 

Discover:

*The reality of metadata management in enterprises

* Agentic AI for the enterprise

* Ontologies for Model Context Protocol (MCP)

Strong metadata foundations are essential for AI. Discover how enterprises can move from fragmented repositories to true context.

Hear directly from a solution architect with over a decade of hands-on experience in data integration. Gain insights into how the industry has transformed, how data complexity has exploded, and why simplicity is now essential to ensure data moves securely and efficiently to the right place.

The business — not IT—will drive AI innovation. Success depends on teams ideating freely, experimenting rapidly, and unlocking value.

The used car market is traditionally fraught with uncertainty and friction. Motorway is changing that. This fireside chat will explore how the company is harnessing the power of AI to create a seamless, transparent, and trustworthy experience for customers. It will dive into the practical applications of Motorway's AI models, from instant, accurate vehicle valuations to damage detection and customer support. Beyond the technology, Ben and Georgia will share Motorway's journey in fostering a culture of data enablement and how the company empowers its teams - from marketing to operations - with the tools and insights they need to make smarter, data-informed decisions.

Powered by: Women in Data®

Discover how Google Cloud's AI-native platform is transforming data science, moving beyond traditional methods to empower you with an intuitive experience, an open ecosystem, and the ability to build intelligent, data-native AI agents. This shift eliminates integration headaches and scales your impact, enabling you to innovate faster and drive real-world outcomes. Explore how these advancements unify your workflows and unlock unprecedented possibilities for real-time, agent-driven insights.

In the scramble for agentic systems, the question has to be asked, are we ready? 

This session highlights the common challenges and complexities we face during the rush for autonomous orchestration. We'll demonstrate how Snowflake's AI data platform offers a unified, adaptable, and trusted solution for creating data agents you can trust.

In this short presentation, Big Data LDN Conference Chairman and Europe’s leading IT Industry Analyst in Data Management and Analytics, Mike Ferguson, will welcome everyone to Big Data LDN 2025. He will also summarise where companies are in data, analytics and AI in 2025, what the key challenges and trends are, how are these trends impacting on how companies build a data-driven enterprise and where you can find out more about these at the show.