Abstract:AI promises transformation, but most enterprises are still held back by a blind spot: unstructured data. The documents, conversations, and content that hold the richest business insights remain locked away—unusable, ungoverned, and invisible to AI. This untapped treasure delays projects, derails accuracy, and creates governance risks.

In this exclusive launch session, Teresa Rojas, Senior Director of Product Management at Collibra, and Reece Griffiths, co-founder of Deasy Labs (now part of Collibra), will unveil Collibra Unstructured AI. They’ll show how breakthrough technology, combined with Collibra’s unified governance platform, enables organizations to finally move beyond the black box and unlock the hidden wealth in their data to power trustworthy, scalable AI.

AI is no longer a lab experiment; it’s reshaping how business gets done. This session explores how Rackspace is integrating AI agents as teammates, rather than technology tools. Learn how to cut through industry groupthink, redesign workflows, and build a new operating model where humans and AI collaborate to drive trust, growth, and resilience.

On average, one woman is killed by an abusive partner or ex every five days in England and Wales (Refuge).  

Clare’s Law, introduced in 2014, was intended to help prevent such tragedies, allowing Police to proactively disclose domestic violence history to victims potentially at risk. Yet while the law gave the Police new powers, officers’ capacity could inhibit efficient response to these requests - with siloed data across systems making proactively identifying safeguarding risks a challenge.

Bedfordshire Police, in partnership with Palantir, has built a solution to address these challenges - harnessing AI and big data to transform their force’s safeguarding approach from reactive to proactive, enabling faster identification and safeguarding of those at risk.

Emily Fitzsimons (Deployment Strategist, Palantir) alongside Bedfordshire Police will explore the challenges created for Police Public Protection Units by an increasingly complex data landscape - and how they're using latest technologies like AI to overcome them.

Join us to see how we're transforming safeguarding to help reduce domestic violence by empowering potential victims with vital information before it's too late.

Powered by Women in Data®

AI may be the enabler, but people are the driving force. From ethical design and cultural transformation to trust-building and team diversity, the session examines how people power progress.

This 30-minute discussion curated by Women in Data® brings together senior data leaders from Legal & General, M&G and Faculty, to explore how a human-centric mindset is essential for delivering responsible, impactful AI in financial services.

Speakers will share real-world insights into leading change, embedding inclusive practices, and turning complex data into meaningful outcomes. Expect a fast-paced, thought-provoking dialogue that reframes AI as not just smart tech, but a tool that must be shaped by empathy, purpose, and collaboration.

Powered by: Women in Data®

Explore how self-learning data catalogs, agentic AI and other supportive tools can help you deliver AI-ready data faster.

Sound AI outcomes start with trusted, high-quality data and delivering it efficiently is now a core part of every data and AI strategy. In this session, we’ll discuss how AI-supportive capabilities such as autonomous data catalogs, unstructured metadata ingestion and automated data trust scoring are transforming how organizations deliver AI-ready data products at scale with less hands-on staff involvement.

You’ll see how GenAI and agentic AI can accelerate reliable data delivery at every stage, from identifying and fixing data issues to building semantic business layers that give your AI models the context-rich inputs needed for success. We’ll also explore how agentic AI enables self-updating catalogs, proactive data quality monitoring, and automated remediation to free your teams to focus on innovation instead of maintenance.

If you’re shaping your organization’s data and AI strategy as a CDO, CDAIO, CIO, or data leader, this is your blueprint to operationalizing trusted, governed, and AI-ready data for every initiative, faster and smarter.

I don’t like it. I don't get it. I don’t trust it.' 

Sounds familiar?

Even with the best Data and AI tools, organisations struggle to see results if their people don’t engage. Change is hard, and without attention to mindset and culture, even the most sophisticated Data and AI initiatives can fall short.

Rosanne Werner, CEO of XcelerateIQ, previously led the multi-award winning Data and AI Mindset and Culture programme at Coca-Cola Europacific Partners, reaching over 2,000 participants worldwide.

In this session, we’ll explore how to ‘Crack the Human Firewall’ with a science-based approach to Data and AI mindset and culture. 

You’ll learn:

• How the brain changes and learns - and how to use this to enable Data and AI acceptance.

• How to rewire habits to integrate Data and AI into daily workflows.

• How to use social dynamics to build a collective mindset that advocates for Data and AI.

Proven by science - Let's help your teams put Data and AI into Action!

SAP Business Data Cloud is a fully managed solution that unifies and governs all SAP data while seamlessly integrating with third-party sources. With SAP Business Data Cloud, organisations can accelerate decision-making by empowering business users to make more impactful choices. It also provides a trusted foundation for AI, ensuring that data across applications and operations is reliable, responsible, and relevant—enabling organisations to harness the full potential of generative AI.

Site Reliability Engineers spend countless hours diagnosing complex production issues and optimizing system performance. This talk explores how Large Language Models can augment SRE workflows with real-world examples.

We'll also demonstrate live tooling that leverages AI to optimize database configurations - automatically recommending ordering keys, generating materialized views, and suggesting performance improvements based on query patterns and system metrics.

Rather than theoretical possibilities, this talk focuses on practical implementations with measurable results. Attendees will learn actionable strategies for integrating LLMs into their SRE workflows, understand the current boundaries of AI effectiveness in operations, and see concrete examples of tooling already delivering value in production environments.

Everyone’s talking about GenAI. But at Big Data London, you want more than hype. 

In this session, Simon Devine (Founder of Hopton Analytics) shares how the East of England Co-op embedded GenBI – Pyramid’s generative AI tool – into their business intelligence platform to improve how decisions are made across the organisation. 

This wasn’t a flashy experiment. It was a carefully planned rollout of AI-generated explanations, natural language querying, and explainable analytics – designed to support busy operational teams, reduce report backlogs, and drive smarter decisions at scale. 

Simon will take you behind the scenes of the project: how it was planned, what hurdles had to be overcome, and the governance structures that helped it succeed. You'll hear honest reflections on what worked, what didn’t, and what they’d do differently.

 Whether you’re a data leader looking for real-world use cases, a BI owner exploring GenAI adoption, or a transformation lead trying to unlock value from your reporting stack – this session will give you practical insight, not just theory.

 Come for the lived experience. Leave with ideas you can actually use.

How do you deliver reliable data across dozens of countries, diverse tech stacks, and constantly evolving use cases? In this session, Vinicio Oliviera, Senior Data Platform Manager at Delivery Hero, shares how his team ensures trust in data at scale. From real-time sales streams to AI-driven vendor insights, he’ll show how Delivery Hero uses Monte Carlo’s monitoring-as-code to unify reliability across regions, balance central standards with local autonomy, and keep data powering decisions around the globe.

AI is rewriting the recruitment rulebook with the potential to make it smarter, fairer and more efficient, but it is not without its challenges. In this 30-minute session, leading Women in Data® experts from AXA, Munich Re, Royal London, Thatcham Research and Virgin Media O2 unpack the real-world impact of AI on hiring practices.  

Our panel will share how they are responding to the rise of AI-generated profiles, the growing cost of candidate screening and the responsibility to maintain transparency and trust at all stages. Expect practical insights and honest reflections on what it takes to proactively utilise AI responsibly, and effectively, in recruitment today.

Powered by: Women in Data®

AI is only as good as the data it runs on. Yet Gartner predicts in 2026, over 60% of AI projects will fail to deliver value - because the underlying data isn’t truly AI-ready. “Good enough” data isn’t enough.

In this exclusive BDL launch session, DataOps.live reveal Momentum, the next generation of its DataOps automation platform designed to operationalize trusted AI at enterprise scale.

Based on experiences from building over 9000 Data Products to date, Momentum introduces breakthrough capabilities including AI-Ready Data Scoring to ensure data is fit for AI use cases, Data Product Lineage for end-to-end visibility, and a Data Engineering Agent that accelerates building reusable data products. Combined with automated CI/CD, continuous observability, and governance enforcement, Momentum closes the AI-readiness gap by embedding collaboration, metadata, and automation across the entire data lifecycle.

Backed by Snowflake Ventures and trusted by leading enterprises, including AstraZeneca, Disney and AT&T, DataOps.live is the proven catalyst for scaling AI-ready data. In this session, you’ll unpack what AI-ready data really means, learn essential practices, discover a faster, easier, and more impactful way to make your AI initiatives succeed.

Be the first to see Momentum in action - the future of AI-ready data.

Insights on how to generate real value with AI, treat data as a product, and the state of data products today.

Paradime is the pioneer in building the 'Cursor for Data' - a platform for the AI-enabled analytics engineer to achieve 10x productivity. In this lighting talk, we will showcase how Paradime and DinoAI is changing the way analytics engineering is done.

In the era of AI agents, data products, and exploding complexity, enterprises face an unprecedented challenge: how to give machines and people, the context needed to make decisions that are accurate, explainable, and trustworthy. 

What if data teams could solve this? 

We'll explore a new opportunity: data teams as the architects and stewards of the “Enterprise Brain”, a unified knowledge layer that connects business concepts, data, and processes across the organization. By treating context as a first-class citizen, organizations can bridge structured and unstructured worlds, govern data and AI agents effectively, and unlock faster, more confident decision-making. 

We'll unpack: 

• Why context and knowledge are becoming the missing pieces of AI readiness. 

• How structured and unstructured data are converging, and why this demands a new governance model. 

• Why ontologies, knowledge graphs, and active governance are critical to managing the coming explosion of AI agents. 

• The unique chance data teams have right now to lead and move from building pipelines to building the enterprise brain. 

We won’t talk tools. We’ll talk possibility. By the end, you’ll see why the most successful organizations of the next decade will be the ones who make their data teams the creators and owners of knowledge itself. 

What the rest of the world can learn from gaming’s data-first approach to AI adoption.

Gaming pioneered many of the AI foundations we rely on today, from GPUs to reinforcement learning. It continues to drive innovation, but it has also built a strong resistance to hype. This session explores how gaming teams evaluate, deploy, and reject AI solutions with a discipline other industries can learn from.

This talk will explore how NVIDIA Blueprints are accelerating AI development and deployment across various industries, with a focus on building intelligent video analytics agents. Powered by generative AI, vision-language models (VLMs), large language models (LLMs), and NVIDIA NIM Microservices, these agents can be directed through natural language to perform tasks such as video summarization, visual question answering, and real-time alerts. This talk will show how VSS accelerates insight from video, helping industries transform footage into accurate, actionable intelligence.