Data Leaders Summit

The Data Leaders Summit is a closed-room, invite-only event for senior decision-makers in charge of data management, analytics, automation and insight. This is an unmissable opportunity to get ahead of the latest trends, strategies and visions connecting the data ecosystem.

Share ideas with other experts, get inspired and identify the tools and technologies that will deliver smarter, faster, safer decisions for your organisation. With high quality connections and challenge based discussions tailored to your upcoming projects, delegates will achieve more in a day than they could in a month.


Network and collaborate with fellow influential members of the data community and join pre-qualified
 meetings with the handpicked solution providers that you want to meet.

Confirmed Speakers

Who's it for?

CIO, Chief Data Officer, Head/Director/Manager of: Data and Analytics, Data Science,
Business Intelligence, Data Insights, AI, Automation, Data Architecture

Roundtable topics

Join our peer-to-peer roundtables specially curated by the DTX team to encourage collaboration with other leaders on some of the biggest, critical data issues.

Check out the full range of Think Tank Roundtable sessions.

What our delegates say

What to expect on the day


Registration & Arrival Refreshments
Welcome Address

Simon Asplen-Taylor, CEO/Founder, Datatick

Keynote Panel

Is your enterprise ready to adopt a data-driven mindset?

• Why a lack of data culture remains a roadblock to the future of data analytics and AI adoption
• Getting a baseline on organisational tolerance to risk and experimentation: What cultural values can you lean on to bring about change?
• Starting small or large? Understanding the real building blocks needed to build a data-driven enterprise

Katie King, CEO, AI in Business
Stephanie Fabb, Chief Data Officer, Hearst UK
Christina Finlay, Director, Data & Analytics, NEST
Premal Desai, Head of Data & AI, The Gym Group
Steven Totman, Chief Strategy Officer, Privitar


Mind the Gap! The new era of real-time, data intensive applications & architectural implications

Sponsored by SingleStore

• What’s the Data Gap and how to avoid falling into it
• How legacy data architectures create bottlenecks and the compromises you’ve had to face… up till now
• Future-proof data-intensive requirements to enable real-time operational analytics
• Examples of data-intensive use cases and applications
• A free tool to discover how data intensive your business truly is

Sukki Sandhar, VP International Presales, SingleStore

Refreshment Break
Think Tank Roundtable Sessions

 Structuring data to enable enhanced decision making: What is holding you back from vital insight?
Time to bust bias: How to ensure your projects aren’t affected by unintended bias
• ML Ops: The tricks behind scaling and operationalising ML and AI
Democratising development: How is low-code tech changing the way companies approach AI?

1-2-1 Meetings & Networking



The secrets behind AI & ML projects that deliver ROI, scale effectively and positively impact operations

• Getting it right at the start: How to accurately assess which projects are worth time and resources
• Moon shots or quick wins? Deciding on the right project scope
• Keeping the end user in mind: How to deliver a tool with practical real-world applications

Jennifer Stirrup, CEO & Founder, Data Relish 
Yannis Kalfoglou, Head of Artificial Intelligence, Frontiers
Dr. Angelos Oikonomopoulos, Commercial Data Science and Analytics Director, Global


What it takes to build a diverse and high-performance data team ready to meet customer and employee demands

• How to ensure that diversity within your data teams is front of mind and being actioned
• Why it’s important to get teams speaking a common language on data
• Initiatives you can use to better connect with customer and employee needs

Simon Bullmore, Co-founder and CEO, Mission Drive
Dan Kellett, Chief Data Officer, Capital One
Clemence Burnichon, Director of Data Innovation, ITV
Dr. Angelos Oikonomopoulos, Commercial Data Science and Analytics Director, Global

1-2-1 Meetings and Networking
Think Tank Roundtable Sessions

 • What do the next gen of customers want? How data-centric decision making will change customer experience and product plans
What are we missing? Looking at the non-obvious opportunities for data initiatives and experimentation
Automating data-hungry teams: What tools can help your teams be more efficient and focused on high-value work
• AI ethics in practice: How to maintain trust and operationalise the principles of responsible AI use

Closing Keynote Panel

Bridging the gap: How to build data skills across the enterprise

• Understanding data literacy gaps across operations: Where do you need to focus attention?
• What are the most important skills to build across teams?
• Levelling the playing field: How to get teams to speak a common language
• Collective strategies such as ED&I, innovation and future business plans to bridge the skills and talent gap

Dan Kellett, Chief Data Officer, Capital One
Kinnari Ladha, Chief Data Officer, IAG Loyalty
Sigal Hachilli Dwyer, Director of AI, Data & Digital Innovation, Guy’s & St Thomas Hospital
Glen Hymers, Head of Data Privacy and Compliance, Cabinet Office
Simon Hart, Head of Digital Twins & Cyber-Physical Infrastructure, Innovate UK

Closing Remarks
Evening Reception & Networking Party

Interested in sponsoring?

Fill in the form and our team will be in touch to discuss packages