Gartner Data & Analytics Summit
The premier conference for CDAOs, heads of AI, and data and analytics leaders covering data management, data trends, AI, agentic AI, generative AI, governance and data architecture.
- Dates
- May 11 – May 13, 2026
- Location
- London, UK
- Industry
- Data
Speakers
8 speakers on record
speaker· 8
Adam Ronthal
VP Analyst, Gartner
Alan D. Duncan
Distinguished VP Analyst, Gartner
Arun Chandrasekaran
Distinguished VP Analyst, Gartner
Aura Popa
Sr Director Analyst, Gartner
Georgia O'Callaghan
Director Analyst, Gartner
Jason Medd
Sr Director Analyst, Gartner
Jorg Heizenberg
VP Analyst, Gartner
Rita Sallam
Distinguished VP Analyst, Gartner
See your name listed as a speaker? Read how we source this and how to have it removed.
Agenda
20 sessions on record
Schedule
Accelerating AI Value With Robust Metrics Frameworks
breakoutAI, Gen AI and Agentic
Workshop: Using the AI-Ready Data Toolkit to Assess Your Readiness
workshopAI, Gen AI and Agentic
How to Design the AI Organization
breakoutAI, Gen AI and Agentic
Ask the Expert: Future of Generative AI
breakoutAI, Gen AI and Agentic
Data Management Value Streams: Connect the Cloud Cost of Data Production to Business Value
breakoutArticulating Business Value
How to Kickstart Savings With an Innovative Sprint Framework
breakoutArticulating Business Value
A Practical Guide to FinOps of AI Cost and Value Creation
breakoutArticulating Business Value
Roundtable: How Do You Demonstrate the Value of the D&A Program?
panelArticulating Business Value
5 Things That Cause Sleepless Nights for Heads of Governance
breakoutData, Analytics and AI Governance
7 Practical Ways to Improve Data Governance Today
breakoutData, Analytics and AI Governance
Crossroads Debate: Data and Analytics Governance Versus AI Governance
panelData, Analytics and AI Governance
AI Governance: How to Design an Effective AI Governance Operating Model
breakoutData, Analytics and AI Governance
10 Steps to Build a Data Fabric Architecture for Data Management and AI Use Cases
breakoutData Architecture and Ecosystems
How to Build and Manage Data Products Efficiently: Technology and Architecture Perspectives
breakoutData Architecture and Ecosystems
Integrate AI Governance With AI Architectures
breakoutData Architecture and Ecosystems
The Intelligence Capabilities Stack: The D&A Foundation You Need to Drive Innovation and Resilience
breakoutData Architecture and Ecosystems
Accelerating First-Year Success as a CDAO: Strategies for Executive and Functional Leadership Impact
breakoutLeadership and Organization Structure
Designing the Future-Ready Data & Analytics Organization for Agility and Consistency
breakoutLeadership and Organization Structure
What Is the AI Leader's Role in an AI-First Enterprise?
breakoutLeadership and Organization Structure
Signature Series: Get Ready for Data and Analytics 2030
keynoteLeadership and Organization Structure
Sponsorship Packages
Sponsorship package data is not on record for this event.
ROI Benchmarks
ROI benchmark data is not on record for this event.