In an era where data is central to business success, the demand for skilled analysts continues to outpace supply. This session explores how data analytics apprenticeships offer a dynamic, practical solution to the widening skills gap, equipping individuals with industry-relevant experience while delivering immediate value to employers.

Using the NowSkills apprenticeship model as a case study, this session will showcase how a well-rounded curriculum—combining technical training, real-world projects, and structured mentorship—can transform aspiring analysts into confident, capable professionals. Attendees will gain insights into how these programmes adapt to diverse learning needs, integrate business challenges, and embed workplace-ready skills from day one.

Through success stories and data-driven outcomes, the presentation will highlight the benefits for both individuals and organisations: from faster onboarding and increased employee engagement to improved innovation and retention. Additionally, apprenticeships contribute to greater diversity and inclusion by widening access to digital careers beyond traditional academic routes.

Attendees will leave with practical strategies to implement or enhance apprenticeship programmes, identify future skills, and collaborate effectively

We need to tie our data agents to the infrastructure where our data runs. The issue is that the industry creating more of the same that we have all come to expect: loosely defined tooling with overlapping functionality. Is there any other way for AI systems to mediate work? Let us show you how, live.

Data is one of the most valuable assets in any organisation, but accessing and analysing it has been limited to technical experts. Business users often rely on predefined dashboards and data teams to extract insights, creating bottlenecks and slowing decision-making.

This is changing with the rise of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). These technologies are redefining how organisations interact with data, allowing users to ask complex questions in natural language and receive accurate, real-time insights without needing deep technical expertise.

In this session, I’ll explore how LLMs and RAG are driving true data democratisation by making analytics accessible to everyone, enabling real-time insights with AI-powered search and retrieval and overcoming traditional barriers like SQL, BI tool complexity, and rigid reporting structures.

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

Join Richard as he shares how Runna transformed its data capabilities by harnessing the power of Snowflake and AWS. This session will explore the key challenges the team faced, how they overcame them, and the practical steps they took to build a scalable, future-ready data platform. Richard will walk through what’s been achieved so far, the lessons learned along the way, and how Runna is now able to unlock complex business insights faster and more efficiently than ever before. You'll also get a sneak peek into what’s next as they continue to evolve their data strategy to support rapid growth and innovation.

As organisations scale their data ecosystems, ensuring consistency, compliance, and usability across multiple data products becomes a critical challenge. This session explores a practical approach to implementing a Data Governance framework that balances control with agility.

Key takeaways:

- We will discuss key principles, common pitfalls, and best practices for aligning governance with business objectives while fostering innovation.

- Attendees will gain insights into designing governance policies, automating compliance, and driving adoption across decentralised data teams.

- Real-world examples will illustrate how to create a scalable, federated model that enhances data quality, security, and interoperability across diverse data products.

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.

The world has never been more connected. Today, customers demand near-perfect uptime, responsive networks, and personalized digital experiences from their telecommunications providers. 

The industry has reached an inflection point. Legacy architectures, fragmented customer data, and batch-based analytics are no longer sufficient. Now is the time for Telcos to embrace real-time, when the speed of insights and the ability to remain agile determine competitive advantage.

In this session, leaders from Orange Belgium, Google Cloud, and Striim explore how telcos can rethink their data foundations to become real-time, intelligence-driven enterprises. From centralizing data in BigQuery and Spanner to enabling dynamic customer engagement and scalable operations, Orange Belgium shares how its cloud-first strategy is enabling agility, trust, and innovation.

This isn’t just a story of technology migration—it’s about building a data culture that prioritizes immediacy, empathy, and evolution. Join us for a forward-looking conversation on how telcos can align infrastructure, intelligence, and customer intent.

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. 

In an era where sustainability is no longer optional but essential, data-driven organisations are leveraging advanced analytics to unlock new pathways for innovation and growth.  

This 30-minute session brings together leading Women in Data® experts with deep experience in applying sustainability analytics across sectors. Through real-world insights and strategic frameworks, they will explore how environmental, social, and governance (ESG) data can be harnessed to inform smarter decision-making, uncover hidden opportunities, and drive long-term value creation and innovation whist remaining rooted in responsible data use.

Powered by: Women in Data®

If you want to scare a Data Engineer with four words, ‘big data, high concurrency’ will probably do it. As data moved from the realm of BI reporting to being a customer-facing commodity, serving huge volumes of data to thousands of unforgiving app users is no small challenge. In this session, Connor Carreras will share (and demo!) how a major martech platform uses Firebolt to serve data about millions of websites to their worldwide customers with consistent millisecond response times. After this session, you will know how you can build low-latency data applications yourself. You’ll also have a deep understanding of what it takes for modern high-performance query engines to do well on these workloads.

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.

 Learn how Tableau helps organisations manage uncertainties and go from data to decisions faster. Join us on this agentic journey, empowering every data professional to deliver limitless success.

Session brought to you by Salesforce

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.