RevX London
The enterprise AI event for data science and IT leaders
June 24, 2025
Etc County HallExperience RevX alongside AI industry leaders
About RevX
AI is evolving fast, and enterprises are feeling the pressure: rising costs, tighter regulations, and the race to operationalise AI at scale. At RevX, you'll gain exclusive insights from industry pioneers who have successfully navigated these challenges and transformed their businesses with AI.
Thought leadership
Hear strategic and operational perspectives from thought leaders and industry leaders.
Innovation
Discover strategies to balance innovation with control for enterprise-scale transformation.
Best practice sharing
Uncover best practices for scaling AI impact, governance, and ROI.
Networking and connection
Opportunity to mingle with peers and AI visionaries in your industry.
Speakers
Get ready to be inspired by the voices that are shaping the future of enterprise AI. Stay tuned for exciting updates as we add inspiring customers and thought leaders to our event agenda!
Daniel Hulme
Chief AI Officer
WPP
Fabrice le Chatelier
Head of Data Science Office
BNP Paribas
Klaus Rieger
Head of DataLab & Governance
Baloise
Adam Gale
Business Cloud Architect for AI & Financial Industry
NetApp
Nick Elprin
CEO
Domino Data Lab
Thomas Robinson
Chief Operating Officer
Domino Data Lab
Agenda
- 9:00 – 9:30a
Achieving Agility and Compliance: The Future of AI in Business
Thomas Robinson Chief Operating Officer, Domino
Organisations struggle between unregulated AI sprawl and innovation-stifling controls. Nick Elprin reveals how industry leaders balance responsible scaling with agility by unifying teams and embedding governance to accelerate transformation and deliver measurable business value. - 9:30 – 10:00a
Transform Faster, Govern Smarter – Unlocking AI at Enterprise Scale
Nick Elprin CEO, Domino
Enterprises struggle between unregulated AI sprawl and innovation-stifling controls. Nick Elprin reveals how industry leaders balance responsible scaling with agility by unifying teams and embedding governance to accelerate transformation and deliver measurable business value. - 10:20 – 10:50a
Revolutionising Model Risk Management: Building a Modern Risk Platform
Discover how modern platforms boost model management to navigate risks. We'll discuss how data science tools enhance collaboration, speed validation, and drive efficiency with AI across your organisation. - 12:00 – 1:00p
Networking Lunch
- 1:00 – 1:45p
Data Science & Data Driven Transformation in Insurance
Klaus Rieger Head of DataLab and Governance, Baloise
In a regulated industry, driving innovation isn't just about having the right tools- it's about navigating complexity with control. Klaus Rieger will share how leading financial institutions overcome organisational inertia to scale data science and deliver impact, without compromising governance. - 1:55 – 2:40p
AI at Scale: Where Consolidation Fuels Acceleration
Fabrice le Chatelier Head of Data Science Office, BNP Paribas
Discover how a major financial institution is breaking down silos and harmonising AI efforts across business lines.Enabling Decentralised Data Science in Financial Services
As financial institutions scale their data science efforts, decentralisation offers agility—but also brings challenges. - 2:50 – 3:35p
Applied AI Governance: Turning Compliance into a Catalyst for Productivity
Ahmet Gyger Product Lead, Domino
AI Governance has rapidly evolved beyond the traditional lens of “Responsible AI.” Today, it sits at the critical intersection of regulatory compliance, secure AI practices, data governance, and ethical responsibility. - 3:55 – 4:25p
Rethinking AI and its Impact on Business and Humanity
Daniel Hulme Chief AI Officer, WPP
In a world where many believe access to more and more data will lead to ever better decision-making, Daniel Hulme looks at what AI really is, as well as identifying the current and future challenges and opportunities for emerging technologies. - 4:30 – 5:30p
Networking Reception
Sponsors
Get to know your AI peers and thought leaders
Sara Moody
Senior Manager, ISV Partner Marketing @ NVIDIA
“Highly relevant business and technical content for data science leaders, excellent forum for connecting with enterprise customers and prospects as well as AI ecosystem partners.”
Manuel Neumann
Global Head of Data Science @ Red Bull
“Good balance between concrete use cases and data leadership challenges.”
Andy Lin
VP Strategy/CTO @ Mark III Systems
“Amazing conference and incredible networking with some of the leading data science and innovation minds in the industry! If you want to learn from “do-ers” and peers that are working on the most challenging data science problems everyday, go to Rev!”