Buckle up for a bold ride into the future of performance intelligence. In this session, Keyloop - one of the world’s top digital innovators in automotive retail shares how it’s putting data in the driver’s seat to revolutionise decision-making.

Powered by ThoughtSpot and AWS first-party technologies, get an inside look at VEGA, their next-gen AI-powered performance intelligence platform. No dashboards. No bottlenecks. Just real-time, actionable insights that surface hidden issues, suggest smarter actions, and boost performance, profit, and customer experience.

If you're ready to see what happens when AI meets speed, scale, and simplicity, this is your green light.

Want to get your GenAI idea noticed? Databricks engineers share their hands-on experiences building interactive demos that actually made business leaders sit up and take notice.

We’ll walk through the journey from a single idea to a working prototype in under a month. Hear how we did it, what worked, what didn’t, including the unexpected hurdles that tripped us up, by taking a practical look at how to:

• Translate technical impact into business value
• Make your voice heard in large dev teams
• Avoid common pitfalls, from permissions to procurement

If you’re a data scientist, engineer, or AI leader who wants to move fast and make your work impossible to ignore, join us to explore how you could create the Minimum Viable Product that makes you the Most Valuable Player.

As data’s changing landscape continually transforms how we work, the real challenge is preparing our people to keep pace. In this lively panel, Women in Data® leaders from Kingfisher and Travis Perkins, moderated by PA Consulting, share how they are building the skills, mindsets, and cultures needed for a data-led and AI-driven future.  

From practical upskilling to shifting behaviours, expect candid insights, lessons learned, and fresh ideas to help your teams stay ahead. 

Powered by: Women in Data®

Your AI is only as good as your data. Downtime, pipeline failures, and blind spots threaten revenue, compliance, and trust. Join Acceldata at Big Data London to explore Agentic Data Management (ADM), where AI agents autonomously resolve issues, optimize pipelines, and ensure governance. Powered by xLake Reasoning Engine, ADM delivers trusted, AI-ready data with self-healing operations. Hear how enterprises like Dun & Bradstreet boosted reliability and compliance. Ideal for data leaders, engineers, architects, analysts, product managers, and governance heads seeking autonomous data excellence. Visit Booth M70 for live demos

In this 20-minute session, you'll learn how to build a custom Fivetran connector using the Fivetran Connector SDK and the Anthropic Workbench (AI Assistant) to integrate data from a custom REST API into Snowflake. 

You'll then learn how to create a Streamlit in Snowflake data application powering metrics and Snowflake Cortex AI-driven applications.

Enterprises are eager to realise the promise of AI—from insights to decisions to automation. The business is ready to innovate, but fragmented data, rigid AI governance, and the cost and complexity of AI innovation just create frustration. 

This session explores a bold idea: the business—not IT—will lead AI innovation. Success depends on enabling teams to ideate freely, experiment rapidly, and unlock new value at market pace. We’ll discuss how a modern data product strategy empowers business teams with access, trust, and agility—so they can test ideas quickly and scale what works.

You’ll learn why experimentation is the new strategic advantage—and how to turn business curiosity into competitive impact.

Large Language Models (LLMs) are transformative, but static knowledge and hallucinations limit their direct enterprise use. Retrieval-Augmented Generation (RAG) is the standard solution, yet moving from prototype to production is fraught with challenges in data quality, scalability, and evaluation.

This talk argues the future of intelligent retrieval lies not in better models, but in a unified, data-first platform. We'll demonstrate how the Databricks Data Intelligence Platform, built on a Lakehouse architecture with integrated tools like Mosaic AI Vector Search, provides the foundation for production-grade RAG.

Looking ahead, we'll explore the evolution beyond standard RAG to advanced architectures like GraphRAG, which enable deeper reasoning within Compound AI Systems. Finally, we'll show how the end-to-end Mosaic AI Agent Framework provides the tools to build, govern, and evaluate the intelligent agents of the future, capable of reasoning across the entire enterprise.

Three out of four companies are betting big on AI – but most are digging on shifting ground. In this $100 billion gold rush, none of these investments will pay off without data quality and strong governance – and that remains a challenge for many organizations. Not every enterprise has a solid data governance practice and maturity models vary widely. As a result, investments in innovation initiatives are at risk of failure. What are the most important data management issues to prioritize? See how your organization measures up and get ahead of the curve with Actian.

In today’s AI-driven world, data is your most powerful asset—but only if it’s trusted, secure, and well-governed. Join Microsoft sales leaders for a fast-paced panel exploring how UK organisations are laying strong data foundations to unlock real business impact. From securing sensitive information to navigating governance and compliance, hear what’s resonating in the UK market and how customers are turning data into competitive advantage. 

A leading rheumatologist teamed up with an AI specialist to help with a systematic review of lupus research, a condition of which 90% of patients are women. Together, they revealed the deep-rooted biases in research methodologies - and the machine learning models that underpin them.

Professor Coziana Ciurtin (UCL) and Mirela Gyurova (Kubrick) share the story behind their GenAI tool which can revolutionise underfunded and underexplored areas of medical research, including identifying ML-enforced biases.

When gender and ethnic disparities in healthcare persist, what responsibilities do data professionals have in shaping ethical, impactful AI? And how can partnerships between industry and academia unlock new standards for evidence, equity, and trust in ML?

For anyone building, using, or regulating AI, this session will challenge assumptions and make the case for responsible, cross-sector innovation.

Powered by Women in Data®

AI is redefining what’s possible in energy; accelerating innovation, enhancing decision-making, and opening new frontiers of efficiency and performance. In this fireside chat, SLB will share how they’re empowering customers to capture new value through AI-powered innovation, accelerating AI skillsets and capabilities in the workforce, and navigating the next horizon of agentic AI solutions.

Joseph Toma is the Cloud and AI Director for Media and Communications. Joseph’s career spans across enterprise, scale-up, and start-up environments, most notably as the CEO of Jugo, an innovative AI SaaS platform. His tenure as Managing Partner at Kyndryl and various leadership roles at IBM, including Hybrid Cloud and Red Hat Sales Director, took him to three continents and has equipped him with a unique perspective that shapes his approach to supporting customers. Joseph is based in London where he lives with his wife, young child, and cavapoo.

How Generative AI dynamically transforms business problems into executable graphs of data products, by creating AI-powered digital twins. Describing business needs in plain language and generating and simulate entire end to end business processes with UX as an interconnected eco-system as graph data products, demonstrated through real-world use-cases.

Discover how to build a powerful AI Lakehouse and unified data fabric natively on Google Cloud. Leverage BigQuery's serverless scale and robust analytics capabilities as the core, seamlessly integrating open data formats with Apache Iceberg and efficient processing using managed Spark environments like Dataproc. Explore the essential components of this modern data environment, including data architecture best practices, robust integration strategies, high data quality assurance, and efficient metadata management with Google Cloud Data Catalog. Learn how Google Cloud's comprehensive ecosystem accelerates advanced analytics, preparing your data for sophisticated machine learning initiatives and enabling direct connection to services like Vertex AI. 

From broken pipelines to hallucinating agents, reliability challenges are the hidden hurdles blocking AI success. Learn how leading enterprises are using observability to detect anomalies, triage incidents, and operationalize trust across their entire data + AI stack.

In this session, Omni CEO Colin Zima and VP of Product Arielle Strong will share how early experiments led to AI features our customers actually use and love: from natural language chat, to embeddable AI products, to APIs and an MCP server. 

They’ll walk through what worked, what didn’t, and how AI has reshaped our product roadmap. Expect real-world examples of AI analytics in production, along with best practices for getting your data AI-ready.

When done right, governance is a growth engine. In this talk, Jean-Georges “jgp” Perrin will show how data contracts bring precision, trust, and accountability into your data and AI pipelines—without creating bottlenecks. Using the Open Data Contract Standard (ODCS) from the Linux Foundation’s Bitol project, you’ll see how organizations can cut downstream defects, accelerate AI model onboarding, lower compliance risk, and reduce firefighting—often in just days.

As AI adoption accelerates internationally, so does its environmental footprint. But what if the same technology driving innovation could also help reduce its own impact?  

From greener data infrastructure to renewable energy and smarter home tech, join us for this insightful 30-minute session with E.ON Next as they share how they are rethinking AI through an increasingly climate-conscious lens. 

Powered by: Women in Data®

Espresso AI uses two main techniques to run Snowflake workloads faster and cheaper: ML-based job scheduling and LLM-based query optimization. This talk will dive into the details behind both approaches.

As artificial intelligence reshapes the financial services landscape, modern data leaders are paving the way with empathy, innovation, and ethical clarity.  

Through personal stories, candid insights, and real-world strategies, this expert panel of Women in Data® leaders will unpack how diverse teams and inclusive leadership principles are essential to building responsible AI that reflects the customers it serves. Before leaving this session, you too will discover how passion and purpose can amplify impact in a sector too often dominated by numbers.  

Please note, this session will not be recorded so you must join us live to hear from this fantastic panel.

Powered by: Women in Data®

For years, data engineering was a story of predictable pipelines: move data from point A to point B. But AI just hit the reset button on our entire field. Now, we're all staring into the void, wondering what's next. While the fundamentals haven't changed, data remains challenging in the traditional areas of data governance, data management, and data modeling, which still present challenges. Everything else is up for grabs.

This talk will cut through the noise and explore the future of data engineering in an AI-driven world. We'll examine how team structures will evolve, why agentic workflows and real-time systems are becoming non-negotiable, and how our focus must shift from building dashboards and analytics to architecting for automated action. The reset button has been pushed. It's time for us to invent the future of our industry.

It sounds simple: “Hey AI, refresh my Salesforce data.” But what really happens when that request travels through your stack?

Using Airbyte’s architecture as a model, this talk explores the complexity behind natural language data triggers - from spinning up connectors and handling credentials, to enforcing access controls and orchestrating safe, purpose-driven movement. We’ll introduce a unified framework for thinking about all types of data movement, from bulk ingestion to fine-grained activation - a model we’ve developed to bring clarity to a space crowded with overlapping terms and toolchains.

We’ll also explore how this foundation—and any modern data movement platform—must evolve for an AI-native world, where speed, locality, and security are non-negotiable. That includes new risks: leaking credentials into LLMs, or triggering unintended downstream effects from a single prompt.

We’ll close with a live demo: spinning up a local data plane and moving data via Airbyte—simply by chatting with a bot.

According to MIT, 95% of organisations are seeing no return from their GenAI investments. Why? Because value doesn’t come from models alone. It comes from trust, governance, and people. Learn how organisations are breaking through the hype using Microsoft Fabric to unify data, Purview to govern it, and Copilot to empower every user. With a real-world customer story and a clear blueprint for action, this session will help you join the 5% who are turning AI ambition into impact.

The age of autonomous agents is here, and it’s moving fast. Gartner predicts that 70% of organizations will deploy AI agents this year to automate complex business processes. But as technology vendors promise exponential productivity, data leaders face a new reality: when every team member can command thousands of digital workers, who’s really in control?

Join Dael and Robin for a candid, entertaining fireside chat as they tackle the tough questions every CDO, CTO, and CIO should be asking. How do you keep oversight when agents are making split-second decisions at scale? What new risks (ethical, operational, and reputational) emerge when AI agents go rogue? And how do you build a data strategy that balances innovation with accountability?

Using real-world stories, surprising data points, and a dash of humour, this session will help you rethink how you buy, build, and govern technology in the age of agentic business. Whether you’re already deploying agents or just starting to explore, you’ll leave with practical insights to avoid the pitfalls, and harness the promise of this next frontier.

We’re excited to be back at Big Data LDN this year—huge thanks to the organisers for hosting Databricks London once more!

Join us for an evening of insights, networking, and community with the Databricks Team and Advancing Analytics!

🎤 Agenda:

6:00 PM – 6:10 PM | Kickoff & Warm Welcome

Grab a drink, say hi, and get the lowdown on what’s coming up. We’ll set the scene for an evening of learning and laughs.

6:10 PM – 6:50 PM | The Metadata Marathon: How three projects are racing forward – Holly Smith (Staff Developer Advocate, Databricks)

With the enormous amount of discussion about open storage formats between nerds and even not-nerds, it can be hard to keep track of who’s doing what and how this actually makes any impact on day to day data projects.

Holly will take a closer look at the three big projects in this space; Delta, Hudi and Iceberg. They’re all trying to solve for similar data problems and have tackled the various challenges in different ways. Her talk will start with the very basics of how we got here, what the history is before diving deep into the underlying tech, their roadmaps, and their impacts on the data landscape as a whole.

6:50 PM – 7:10 PM | What’s New in Databricks & Databricks AI – Simon Whiteley & Gavi Regunath

Hot off the press! Simon and Gavi will walk you through the latest and greatest from Databricks, including shiny new AI features and platform updates you’ll want to try ASAP.

7:10 PM onwards | Q&A Panel + Networking

Your chance to ask the experts anything—then stick around for drinks, snacks, and some good old-fashioned data geekery.