Explore this year’s topics

View topics for data and analytics leaders and dive into last year’s sessions while we work on the full 2026 agenda.

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Conference Topics at a Glance

The 2026 agenda delivers the latest technology, strategy and leadership insights most critical to CDAOs and their teams.

AI, GenAI and AI Agents

Get practical guidance for building and scaling AI, generative AI and AI agents. Learn to optimize costs, manage risk and deliver business value from your AI investments.

Articulating the Business Value of Data and Analytics

Learn how to communicate and prove the value of data and analytics. Discover ways to build business cases, measure ROI and show D&A’s impact on business goals.

AI’s Impact on Governance

AI will reshape governance by automating controls, improving data quality oversight and creating new risk areas that require monitoring. Governance frameworks will evolve to ensure transparency, accountability and safe use of AI across the organization.

Look back at 2025 conference sessions

Hundreds of conference sessions were presented each day at the Gartner Data & Analytics Summit 2025. While we work to develop the 2026 agenda, filter to see sessions that align with your role and interests.

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Monday, 02 June, 2025

09:30 AM - 10:15 AM IST

Gartner Opening Keynote: Scale Data and Analytics on Your AI Journeys

Ehtisham Zaidi, VP, Team Manager, Gartner
With high D&A ambitions and AI pilots becoming increasingly ubiquitous, focus is shifting toward consistent execution. We will share how to continue innovating and experimenting while scaling success. In this keynote, Gartner’s perspective will guide you on preparing for the expected and adapting to the unexpected. Learn to enhance your D&A and AI capabilities on the path to success. ... Show More Show Less

10:30 AM - 10:50 AM IST

SAP: Broken Processes, Missed Outcomes: The Price of Not Using Agentic AI

Varun Thamba, REGIONAL HEAD OF ARTIFICIAL INTELLIGENCE, SAP India
A global Pharma giant missed a $30M market opportunity and faced FDA sanctions when siloed systems delayed critical product insights leading to poor production and supply chain execution.
Manual
handovers and fragmented workflows broke down at the worst moment leading to missed deadlines and demand spike windows.
Agentic AI autonomously connects, predicts, recommends and acts to course-correct in real time.
Discover how businesses can win big with AI acting in business process not just advising!
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11:00 AM - 11:45 AM IST

Ask the Expert: Improve Your Retrieval-Augmented Generation Solution

Sumit Agarwal, VP Analyst, Gartner
Despite the popularity of retrieval-augmented generation, organizations are struggling to optimize large language model applications based on RAG. Attend this session to get suggestions and recommendations on improving your RAG solution, LLMOps for RAG systems, and scaling considerations. ... Show More Show Less

11:00 AM - 12:30 PM IST

CDAO Circle Leadership Exchange: State of D&A in 2025

Brian Foster, VP Analyst, Gartner
Akash Krishnan, PhD, Director Analyst, Gartner
D&A leaders and teams are at an AI-driven inflection point. They are crucial to enable business value through AI-readiness but must evolve their strategy and operating model to meet their organization’s AI ambitions. Reporting from the Gartner 2025 CDAO Agenda Survey, this session reveals actions successful D&A leaders have taken to deliver business outcomes from AI, data, and analytics, and what they need to do next year. ... Show More Show Less

11:00 AM - 11:30 AM IST

Create Metrics That Matter

Christopher Long, Sr Director Analyst, Gartner
Organizations have a lot of metrics, but few have the kind of metrics that move the needle on performance. This presentation discusses techniques you can apply to create metrics that compel users to run to their dashboards every morning. ... Show More Show Less

11:00 AM - 11:30 AM IST

Data Products: How You Should Build, Manage and Sustain Them for D&A Success

Robert Thanaraj, Sr Director Analyst, Gartner
Data products are all the rage within D&A functions as the next wave of potential solutions to reduce the business-IT friction and provide sustained means to data delivery. However, there are many challenges. This session will help D&A leaders understand and build data products, manage and govern them through contracts, and sustain them through marketplaces, governance, and ops best practices. ... Show More Show Less

11:00 AM - 11:30 AM IST

How to Create an Optimal Data & Analytics Organizational Model

Michael Gabbard, Sr Director Analyst, Gartner
To position their teams as a must-have discipline that can fulfill cross-functional use cases, D&A leaders must optimize their organizational model. The optimal organizational model is one that balances enterprisewide capabilities focused on enablement with decentralized needs focused on outcomes. In this session you will learn the design principles behind the right D&A organizational model and how to balance a centralized team (focused on enablement) and decentralized needs (focused on outcomes). ... Show More Show Less

11:00 AM - 11:30 AM IST

Scale AI from Pilot to Production with AI Engineering

Chirag Dekate, VP Analyst, Gartner
Moving AI projects from pilot to production requires substantial effort for most enterprises. AI Engineering provides the foundation for enterprise delivery of AI and generative AI solutions at scale unifying DataOps, MLOps and DevOps practices. This session will highlight AI engineering best practices across these dimensions covering people, processes and technology. ... Show More Show Less

11:45 AM - 12:15 PM IST

IBM: Governing and Securing a New Era of Agentic AI with watsonx

Geeta Gurnani, CTO, Technical Community and Client Engineering, IBM Technology, India and South Asia, IBM India Private Limited
Ratheesh Muraleedharan, Program Director, watsonx Orchestrate: Strategy & Innovationm, India Software Lab, IBM
The rapid advances in generative AI are fueling great excitement. Within just a few years, one-third of generative AI interactions are expected to utilize autonomous agents, propelling a new wave of productivity for enterprises. However, this potential can only be realized if the challenges surrounding AI trustworthiness, inferencing costs, domain-specificity, and effective and secure leveraging of quality enterprise data can be overcome. Data and AI leaders require a practical approach to accelerate AI adoption. Discover actionable techniques to maximize the value of your data for AI, learn from real-world examples of data and AI driven innovation in defence and aerospace, and gain insights into fostering greater AI productivity across your teams with IBM watsonx. ... Show More Show Less

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