https://www.bigdataldn.com/en-gb/conference/session-details.4500.251781.the-high-performance-data-and-ai-debate.html

Join us for an unmissable evening of insight, discussion, and lively debate at The High Performance Data and AI Debate, hosted by Chris Tabb — a unique Big Data London special running from 6:00–8:00 PM. This fast-paced, interactive event brings together some of the brightest minds in data and AI to tackle the most pressing questions shaping the future of teams, architecture, and products in an AI-first world.

The evening kicks off at 6:00 PM with a welcome and free drinks. Then, across three rapid-fire 20-minute debates, our expert panels will explore:

• AI & Data – Teams (Chair: Eevamaija Virtanen)

Mehdi Ouazza, Paul Rankin, Jesse Anderson, Hugo Lu

• AI & Data – Architecture (Chair: Adi Polak)

Chris Freestone, David Richardson, Nick White, Karl Ivo Sokolov

• AI & Data – Products (Chair: Jai Parmar)

Kelsey Hammock, Jean-Georges (jgp) Perrin, Taylor McGrath, Jon Cooke

Refuel with free pizza at 6:50 PM, then stay for the Town Hall Debate, where all speakers return to the stage for an open-floor Q&A — your chance to challenge their ideas, share perspectives, and shape the conversation.

Expect fresh perspectives, healthy disagreement, and practical takeaways you can bring back to your organisation. Whether you’re leading a data team, designing cutting-edge architectures, or building AI-powered products, this is your space to engage with the people shaping what’s next.

In the fast-paced world of data, standing still means getting lapped. Just like in a racing game, every challenge you conquer every feature you optimise propels you to the next level. But the real goal isn’t just winning a single race; it’s winning the season.

Join Chris Tabb as he navigates the data platform circuit, showing how incremental upgrades—your turbo boosts, fresh tires, and bigger nitro fuel success.

If you wait to build the “perfect” platform before delivering, you’ve already lost. Winning teams iterate rapidly, learning from every lap to fine-tune their approach. The key? Deliver the right features at the right time—giving you the edge for the next race and the insights to dominate the season.

The teams that optimise cost-efficiency, agility, will find themselves on the podium at the end of the season.

Are you ready to accelerate your data platform maturity, and outmanoeuvre the competition?

Join Chris Tabb as he navigates the data platform circuit, showing how incremental upgrades—your turbo boosts, fresh tires, and bigger nitro

6:00 pm - Intro & Drinks hosted by Chris Tabb

6:10 pm - Session One - High Performance Data Products

David Richardson, Jon Cooke, Taylor McGrath, Mark van der Heijden

6:30pm - Session Two - High Performance Data Models

Joe Reis 🤓, Keith Belanger, Nick White, Eevamaija Virtanen

6:50pm - Pizza and Drinks 🍕🥤🍷🍻

7:00pm - Session Three - High Performance AI

Alex Chung, Jai Parmar, Sonny Rivera, Addie McNamara

7:20pm - Town Hall Debate

Sponsors: Coalesce, LEIT DATA, Rivery, SqlDBM, ThoughtSpot 

Meet some of the most prominent UK data founders and delve into what it takes to start a high-growth business in the data space. With the panel collective expertise covering SaaS, M&A, professional services, advisory, product companies and everything in between, this is an event not to miss. This panel is a true celebration of the UK entrepreneurial talent - you will learn about the founders’ personal journeys, their experience of significantly scaling and growing their businesses and the role that their tenacity, perseverance and determination to build something new and different have played in it. 

The panel will also be joined by a special panel guest Richard Shaw, who will share the investors outlook and the insight about the eco-system out there available to support new generation of data founders on their journey.

Featured panelists:

• Chris Tabb, co-founder and CCO, LEIT Data

• Anna Sutton, co-founder and CEO, Data Refinery, exited co-founder of Data Shed (acquired by Hippo Digital in 2023)

• Chelsea Wilkinson, co-founder and CEO, Data Diligence

• Rowena Humby, co-founder and CEO, Starcount

• Richard Shaw, Partner, Growth Capital Partners

• Guy Fighel, Venture Partner and Head of Data Program - Hetz Ventures

The panel will be hosted by Svetlana Tarnagurskaja, co-founder and CEO of The Dot Collective.

This presentation will be delivered alongside a customer we have worked with for over 2 years. Austin Price CDO at PPL and I will present. This presentation explores how building a solid data platform foundation acts as a force multiplier, significantly accelerating your ability to deliver results. We'll delve into the importance of an architect-led data platform program delivered in an agile methodology based on a Business-aligned architecture runway. The Force Multiplier Effect Discover how a well-designed data platform can amplify your team's efficiency and reduce delivery friction. Architect-led Program We'll discuss the crucial role of an architect in providing the architecture runway for the data platform strategy and ensuring alignment with business needs. Agile Delivery Embrace the power of agile methodologies to build your data platform iteratively but aligned to the roadmap, focusing on delivering high-value features quickly and at scale Product & Feature Approach Learn how to break down your data platform development into manageable products and features, enabling faster iteration and adaptation. By using this approach you can build a data platform that empowers your organization to: Deliver insights and applications faster Reduce development time and costs Increase agility and adaptability How to create the force multiplier effect.

Chris Tabb (LEIT Data) and I hang out at my house and chat about data monetization and business value. 

What the heck are those things? Good question. Listen and find out.

LEIT Data: https://www.leit-data.com/

Chris Tabb: https://www.linkedin.com/in/chris-tabb-datatips/

If you like this show, give it a 5-star rating on your favorite podcast platform.

Purchase Fundamentals of Data Engineering at your favorite book seller.

Check out my substack: https://joereis.substack.com/