Keynote: How smart companies are winning the AI race with their own data
How smart companies are winning the AI race with their data?
AI alone won’t give you a competitive edge. Your data will.
Generative AI has captured the spotlight, and every scale-up is under pressure to “do something with AI.” But while tools like ChatGPT can boost productivity, they don’t create real differentiation. Your competitors have access to them too.
The companies that win are the ones building with their own data.
In this keynote, Simon Jackson will walk you through the Hierarchy of AI & Data Needs—a clear and actionable framework for turning your company’s data into a lasting advantage.
Whether you’re scaling your analytics practice, launching AI initiatives, or building experimentation culture, this session will show you how to move from hype to execution.
✅ What You’ll Learn
By the end of this session, you’ll:
Understand the real opportunities and limits of commoditized AI tools for scale-ups
Rethink what “data” really is—and how it drives business results beyond buzzwords
Differentiate between staying competitive and building real competitive advantage
Learn a practical Hierarchy of Needs for using data and AI effectively
Discover real-world use cases across analytics, experimentation, and machine learning
Walk away with simple, actionable steps to map your data and start leveraging it today
🎯 Who Should Attend
This keynote is built for:
Founders, Product Leaders, and Heads of Growth in scale-up tech companies
Analytics and Data Science leads looking to scale impact
Anyone trying to use AI and data to make smarter, faster decisions
Teams seeking clarity in the middle of AI noise
👤 About the Speaker: Simon Jackson
Simon Jackson is a globally respected advisor in data, experimentation, and growth strategy. He has helped some of the most advanced analytics organizations in the world turn complexity into execution.
He previously held leadership roles at:
Meta, building internal systems for scaled growth and experimentation
Canva, supporting product and data teams during hypergrowth
Booking.com, where he helped create one of the largest in-house experimentation programs globally (including CUPED methodologies)
Simon now works with medium-to-large tech companies to:
Scale experimentation from 10s to 1000s of tests
Turn ML/AI ideas into production-ready solutions
Build and grow world-class analytics and data science teams
He’s been recognized as a top A/B testing influencer by Kameleoon, contributes to platforms like Eppo, and is known for his ability to align data teams with product and growth strategy.
“Everyone has access to AI. The companies that win are the ones that know how to use their own data to ask—and answer—better questions.”
📅Tuesday, May 27 at 11:00 AM CET
🔗Register now to learn how to build a data advantage your competitors can’t copy