From AI Ambition to Enterprise Capability
The DataIQ 100 Discussion brings together leading data and AI practitioners to examine what it now takes to build trusted, accountable and sustainable enterprise capability.
AI adoption is no longer the central question. The harder work is deciding what deserves to scale, proving value, defining accountability, strengthening the operating conditions around AI and equipping people to work effectively as technology continues to change.
The detailed 2027 program will be informed by the priorities and experiences identified through the DataIQ 100 Europe research and Q&A process.
2026 Speakers Highlights
Russell Barton
EMEA Data Governance and Projects Manager
Starbucks EMEA
Laia Collazos
Chief Data and Analytics Officer
Coca Cola Europacific Partners
Rebecca Fitzgerald
Director of Data & AI
Yorkshire Building Society
Alex Jardine
Director of Analytics
Sainsbury’s Nectar
Lara Izlan
Director of Insights
ITV
Mikhael Mazu
Vice President – Head of Metadata Management
Deutsche Bank
Abhishek Khandelwal
Managing Director, Head of Decision Intelligence
Barclays UK
Nirali Patel
Group Vice President Data and AI
Liberty Global
Carole Roberts
Director of Data
Leeds Building Society
Srimanth Rudraraju
Group Director of Engineering
London Stock Exchange Group
Lauren Sager Weinstein
Chief Data Officer
Transport for London
Asheeka Singh Hyde
Technology Director – Data, Analytics, and AI
SSP Group
Una Shortt
Group Chief Data Officer, SVP Data & Performance
Schneider Electric
Learn directly from DataIQ 100 Europe leaders and senior brand-side practitioners responsible for enterprise data and AI strategy.
Compare how organisations are moving from experimentation towards trusted, scalable and measurable use of AI.
Examine the leadership, governance and operating-model decisions required as AI becomes embedded in everyday work.
Test priorities and difficult decisions with peers working through similar UK and European organisational conditions.
Celebrate the 2027 DataIQ 100 Europe and the leaders advancing the profession.