All Gartner Data & Analytics 2026 Conference Sessions

The 2026 agenda dives deep into key topics for data, analytics and AI leaders around agentic AI, governance, leadership, data architecture and more to help you address your organization's mission-critical challenges.

2026 Conference Theme

Value at AI Velocity: Navigating the Now and Next

As AI accelerates change across industries, leaders must deliver immediate impact while preparing for future developments. This year’s conference focuses on overcoming challenges like scaling AI, managing disruption, and balancing risk using governance—helping leaders unlock data’s full potential for lasting success.

Explore our conference sessions below, all developed with this theme in mind. Take a look at the list of tracks available onsite. 

Hear from past Gartner Data & Analytics Summit attendees on how they leverage the conference agenda, networking opportunities and expert interactions to help address their most urgent data and analytics priorities. 
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Monday, March 09, 2026

11:00 AM - 11:30 AM EDT

The Ripple Effects of AI on Work and Talent
Helen Poitevin, Distinguished VP Analyst, Gartner
Decisions AI leaders make regarding AI investments and the patterns by which employees embrace these technologies will shape the future of work. We will explore what we call ripple effects: the downstream consequences of AI adoption that influence workforce needs, the number of employees required, the nature of their roles and how work is organized. Get ahead of blind spots so AI investments deliver. ... Show More Show Less

11:00 AM - 12:30 PM EDT

Workshop: How to Scale AI Governance Using Technology
Lauren Kornutick, Director Analyst, Gartner
Organizations struggle to scale AI governance, mitigate risk, and effect compliance while delivering value in AI deployments. AI governance programs only check the box if they are not adaptive and embedded into the fabric of the AI lifecycle. In this session, you will learn how to define your role in AI governance, assess what technology capabilities are required to govern AI at scale, and make an investment decision in an AI Governance Platform or other technology tool. ... Show More Show Less

11:00 AM - 11:20 AM EDT

Reference Architecture Brief: D&A Governance
Amy Bickel, Director Analyst, Gartner
In this session, you’ll explore a reference architecture that serves as a blueprint for effective D&A governance. Through practical, step-by-step guidance, you’ll learn how to align your technology stack with the people, process and policies required for effective outcomes. ... Show More Show Less

12:00 PM - 12:30 PM EDT

SAS: Your AI Agents are Only as Smart as the Tools They Use

Marinela Profi, Global AI and Generative AI Market Strategy Lead, SAS
Brett Wujek, Head of Product Strategy, Next-Generation AI Technologies, SAS
We know the future of AI is agentic (intelligent systems that decide and act on behalf of humans). But agents are only as powerful - and trustworthy - as the tools they use to carry out their tasks. This session demystifies agentic AI, showcasing how LLMs, tools, memory and guardrails combine with human oversight and governance by design. ... Show More Show Less

12:45 PM - 01:30 PM EDT

Ask the Expert: Demystifying Semantic Layers, Ontologies and Knowledge Graphs
Andrés García-Rodeja, Sr Director Analyst, Gartner
Join this session to discover how semantic layers, ontologies, and knowledge graphs can enhance the trustworthiness and intelligence of agentic AI and analytics. Learn how to drive transparent, explainable, and reliable AI-powered decisions. Gain insights into the current vendor landscape and receive practical guidance for launching semantic initiatives in your organization. ... Show More Show Less

01:00 PM - 01:30 PM EDT

A Practical Guide to FinOps of AI Cost and Value Creation
Frances Karamouzis, Distinguished VP Analyst, Gartner
AI spending continues unabated and so is the pressure on leaders. CIOs need to demonstrate the value of AI. CFOs need to calculate it. The c-suite needs to collaborate to create real value. Here we present Gartner's framework for a rigorous, repeatable approach to financial operations (FinOps) of AI initiatives. The focus is on the economics of business value, cost and risk of AI, GenAI and agentic AI. ... Show More Show Less

01:40 PM - 02:00 PM EDT

insightsoftware: AI Has a Production Data Problem. Here’s How Teams Are Solving It
Most AI initiatives stall in pilot for the same reason: production data is hard to access, govern, and trust. In this session, we break down the real blockers teams face when connecting AI to live enterprise data and show how governed access, business context, and verifiable results change the equation. Learn how organizations are moving AI into production, with Simba Intelligence, without copying data, breaking pipelines, or losing control. ... Show More Show Less

01:45 PM - 02:30 PM EDT

CDAO Boardroom: Exploring How AI-Nativ​ity Can Overcome Data Silos by UnifyApps
CDAOs are invited to share perspectives on how traditional digital architectures contribute to data fragmentation and limit the ability to scale AI beyond pilots. The discussion will explore how becoming AI-native may shift this dynamic, including the role of an enterprise knowledge graph and ontology layer in making data AI-ready, enabling shared context across data, actions, and governance to support scalable, outcome-driven AI. ... Show More Show Less

02:30 PM - 03:00 PM EDT

Crossroads Debate: Data and Analytics Governance Versus AI Governance
Lauren Kornutick, Director Analyst, Gartner
Andrew White, Distinguished VP Analyst, Gartner
Data governance has traditionally encompassed analytics governance, managing most risks and value in traditional analytics. However, AI introduces new risks and considerations that D&A governance may not be equipped for. Should D&A governance evolve to govern AI or is it time for a separate discipline with a fresh mandate? This session explores conflicting accountabilities, leadership and operating models between these disciplines. ... Show More Show Less

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“The conference open our minds to an entire world of analytics opportunities for improving data decision making of the companies.”

Eliza Urgiles
Inter American Development Bank

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