The seminar agenda for Data Decoded LDN 2026 is now live.

Taking place 22–23 April 2026 at Olympia London, Data Decoded LDN brings together data leaders, engineers, architects, analysts and senior business decision-makers for two days of practical insight, strategic thinking and real-world case studies.

With sessions now available to explore, attendees can start planning their two days across five dedicated theatres, with additional speakers and sessions continuing to be confirmed in the lead-up to the event.

👉 View the seminar agenda and register free.

🎤 Strategic Leadership, Modern Platforms, Applied Intelligence

The 2026 programme reflects the full spectrum of today’s data landscape — from board-level strategy to engineering foundations, from governance frameworks to advanced analytics.

On the keynote stage, Fay Churchill, Head of Data Science at ITV, will explore what it truly means to lead high-performing data functions in a period of rapid technological change, balancing innovation, commercial delivery and responsible practice.

Industry authority Mike Ferguson, CEO of Intelligent Business Strategies, brings independent perspective on the evolution of modern data platforms and architecture, examining how organisations are rethinking legacy estates to support AI, analytics and real-time decision-making.

Senior leaders and practitioners from globally recognised organisations including Deloitte, AWS, Holland & Barrett, The NFL, NHS England, and enterprise brands such as Kellanova will share practical insight into scaling analytics, modernising infrastructure, strengthening governance and delivering measurable transformation across complex, high-impact environments.

Presenting organisations represent a cross-section of sectors including consulting, healthcare, retail, sport, media and global enterprise, all navigating the same challenge: how to turn data capability into sustained competitive advantage.

The two day free to attend programme spans:

• Enterprise data and AI strategy
• Modern data architecture and cloud platforms
• Engineering, integration and automation at scale
• Analytics driving commercial and operational performance
• Governance, compliance and responsible innovation

What connects every seminar session is a focus on real implementation. These are lessons from organisations actively evolving their data ecosystems, sharing what worked, what didn’t, and what leaders should prioritise next.

🧠 A Programme That Mirrors Real Data Organisations

Data Decoded LDN is structured across five theatres; Leadership & Strategy, AI & Analytics, Architecture & Infrastructure, Engineering & Automation, and Governance & Compliance, reflecting how modern data teams actually operate.

The strength of the programme lies in its interconnectedness. Strategy influences architecture. Architecture shapes engineering. Governance underpins analytics. Cultural leadership determines whether innovation succeeds.

For organisations attending, this creates an opportunity to approach the event holistically. Senior executives gain clarity on direction and investment priorities, while technical leaders explore the infrastructure and delivery models that make those ambitions achievable.

It’s this alignment across roles — strategic, technical and operational — that turns insight into momentum once teams return to the office.

🚀 Beyond the Stage

While the seminar agenda forms the intellectual core of the event, Data Decoded LDN is designed as a complete data & AI festival experience.

A curated expo floor enables meaningful conversations with leading software providers, platform innovators and technology specialists. Optional hands-on workshops allow teams to go deeper into frameworks and applied implementation whilst executive roundtables provide closed-door, peer-level discussion for senior leaders. Day 1 ends with a choice of meetups and an afterparty that brings the community together, because collaboration is as important as content.

If data sits at the heart of your organisation’s growth, efficiency and competitive strategy in 2026, this is an opportunity to learn from and engage with the people shaping how modern data functions are built and led.

📅 22–23 April 2026
📍 Olympia London
🎟 Free registration open – Click Here