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

Ilhami Gorgun
CDIO, Group Risk, Firmwide Risk Models & Platform
UBS

Eleanor Sparling
Principal Data Scientist
GSK

Manuel Piette
Chief Data Scientist, Tribe AI
BNP Paribas Fortis

Naveed Shaikh
Sr. Director, R&D Strategy and Enterprise Architecture
AstraZeneca

Klaus Rieger
Head of DataLab & Governance
Baloise

James Meeney
Head of Data Strategy & Governance
PharmaLex, a Cencora Company

Adam Gale
Business Cloud Architect for AI & Financial Industry
NetApp

Nick Elprin
CEO
Domino Data Lab

Ahmet Gyger
Sr. Director, Product Management
Domino Data Lab
Agenda
- 8:30 – 9:30a
Check-in and Breakfast
- 9:30 – 10:30a
The Modern AI Factory
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. - 10:45 – 11:30a
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. - 11:30 – 12:00p
Act Now, Adapt Next: From EU AI Act Compliance to the Quantum Leap
Adam Gale Business Cloud Architect for AI & Financial Industry, NetApp
Enterprise technology is being reshaped by the EU AI Act and quantum computing. This new era demands a leadership playbook for forging governance that accelerates innovation. [...] - 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.Accelerating Scientific Discovery with FAIR Principles & Agentic AI
Naveed Shaikh Sr. Dir., R&D Strategy & Enterprise Architecture, AstraZeneca
Pharmaceutical R&D is being transformed by the convergence of FAIR data and intelligent agents. FAIR principles enable trusted, reusable scientific assets, while AI agents bring scalable reasoning and automation to complex workflows [...] - 1:55 – 2:40p
The GenAI Journey at BNP Paribas Fortis: Addressing the hype and delivering high value use cases
Manuel Piette Chief Data Scientist, Tribe AI, BNP Paribas Fortis
BNP Paribas Fortis embraced genAI early, navigating the hype with a clear focus on business value. Hear how the team delivered impactful use cases while staying agile in a rapidly evolving ecosystem, and balanced innovation with strategic execution to turn emerging tech into measurable outcomes.Overcoming AI & Data Governance Challenges in Pharma
James Meeney Head of Data Strategy & Governance, PharmaLex, a Cencora company
Why do so many AI initiatives stall in pharma and other regulated sectors? PharmaLex will share practical strategies to overcome governance gaps in data quality, ownership, and regulatory alignment. Learn how to build AI-ready data capabilities that scale across teams and across borders. - 3:00 – 3:45p
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. [...]Modernizing Data Science Workflows: Lessons from GSK’s GitHub Journey
Eleanor Sparling Principal Data Scientist, GSK
Eleanor Sparling, biostatistics leader at GSK, will share how her team is transforming clinical trial workflows by integrating GitHub and Domino. Explore how version control is enabling greater traceability and collaboration, and its effects on quality control in a heavily regulated industry [...] - 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
