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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

      11:00 AM - 11:30 AM IST

      Create Metrics That Matter
      Christopher Long, 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

      12:30 PM - 01:00 PM IST

      Techniques to Drive Pervasive D&A Usage
      Gareth Herschel, VP Analyst, Gartner
      The biggest cause of D&A failure is that the users don't use the data, insights, or tools to drive business value. Ensuring adoption is never easy, but there are some proven techniques to drive pervasive D&A usage. ... Show More Show Less

      12:30 PM - 01:00 PM IST

      Top 10 Best Practices for Optimizing Generative AI Costs
      Deepak Seth, Director Analyst, Gartner
      Generative AI costs can rapidly escalate due to poor architectural decisions, lack of operational know-how and inadequate governance. In this session, we outline the top ten best practices that D&A leaders can adopt to optimize costs, enabling them to achieve quicker business value and operational efficiency. ... Show More Show Less

      12:45 PM - 01:15 PM IST

      Use Trust Models to Drive Data and Governance Success
      Yogesh Bhatt, Sr Director Analyst, Gartner
      Trust models enable D&A governance leaders to understand how data, analytics and AI assets are used across their enterprise to support business outcomes. This session will help you understand what trust models are, and how they can be used to drive better business outcomes. ... Show More Show Less

      02:30 PM - 03:00 PM IST

      The Pillars of a Successful AI Strategy
      Chirag Dekate, VP Analyst, Gartner
      The enormous potential business value of AI is not going to materialize spontaneously. AI leaders should guide their organization toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor. ... Show More Show Less

      02:30 PM - 03:00 PM IST

      Unlocking the Future: How Python, Spark and Open Table Formats are Revolutionizing D&A Architectures
      Ramke Ramakrishnan, VP Analyst, Gartner
      It's now easier than ever for less technical users to access, manage and analyze data without needing help from IT. But, self-service data management isn't always straightforward, and there are plenty of pitfalls, like data quality issues, skills gaps and governance concerns. This session will cover practical ways to make self-service data management work. ... Show More Show Less

      ... Show More Show Less
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