All 2026 Conference Sessions

Gartner Data & Analytics Summit 2026 dove deep into key topics for data and analytics around topics and more.

Session Takeaways

Dive into some of the key takeaways you may have missed from Gartner Data & Analytics Summit.

Day 1: Gartner Opening Keynote: Navigate AI On Your Data & Analytics Journey to Value

Speakers:

  • Adam Ronthal, VP Analyst Gartner
  • Georgia O'Callaghan, Director Analyst Gartner

Key takeaways

  • Success with AI in Data & Analytics requires a clear vision, strong foundational capabilities, and empowering your workforce—not just rapid implementation.
  • Sustainable value comes from aligning ambition, governance, and talent around a unified AI strategy, including clear goal-setting, modernized governance, and skill investment.
  • The organizations that thrive will be those that blend human expertise with machine intelligence to drive impactful outcomes.

AI Governance: How to Design an Effective AI Governance Operating ModelSpeakers:

  • Svetlana Sicular

Key takeaways

  • Focus governance on your AI portfolio
  • Define levels of use-case criticality to focus AI governance on what matters the most
  • Pace AI governance with your AI speed 

Signature Series: State of D&A 2026Speakers:

  • Michael Gabbard, Sr Director Analyst 

Key takeaways

  • Most D&A teams aren’t fully equipped for current and future AI demand, but scaling impact is still possible.
  • Reallocate resources to top enterprise priorities to maximize AI-driven value.
  • AI can overhaul your operating model, improving solution delivery, data management, and code generation.

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Look back at 2026 conference sessions

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

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Monday, March 09, 2026

11:00 AM - 11:30 AM EDT

5 Things That Cause Sleepless Nights for Heads of Governance

Stephen Kennedy, Director Analyst, Gartner
We will discuss the latest issues that heads of data governance must address and provide recommendations to manage and capitalize on emerging opportunities. By understanding key drivers and trends, leaders will be equipped to optimize their data governance strategies. ... Show More Show Less

11:00 AM - 11:30 AM EDT

Advance Your AI Strategy For Success in an Era of Constant Change

Arun Chandrasekaran, Distinguished VP Analyst, Gartner
The enormous potential business value of AI will not materialize spontaneously. AI leaders should guide their organizations 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

11:00 AM - 11:30 AM EDT

Data Lake, Lakehouse, Warehouse: How to Choose?

Masud Miraz, Sr Principal Analyst, Gartner
Data lakehouses continue to be hyped, but do they replace or complement data lakes and data warehouses? Where do we stand from an architectural perspective? What is hype, and what is real? What should be expected in the coming years? ... Show More Show Less

11:00 AM - 11:30 AM EDT

Designing the Future-Ready Data & Analytics Organization for Agility and Consistency

Jorg Heizenberg, VP 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 model balances enterprisewide capabilities focused on enablement with decentralized needs focused on outcomes. Discover the design principles that underpin the ideal model and learn how to strike a balance between centralized consistency and decentralized agility. ... Show More Show Less

11:00 AM - 11:30 AM EDT

From AI Agents to Multiagent Systems: Get Value through Decision Intelligence

Erick Brethenoux, Distinguished VP Analyst, Gartner
AI agents are permeating applications and systems across organizations. Their flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. However, their adaptive strength comes with nondeterministic weaknesses. Increased autonomy and complexities in multiagent systems, compounded by GenAI models, dangerously raise uncertainty, prompting the question: are multiagent systems worth it? ... Show More Show Less

11:00 AM - 11:30 AM EDT

The Intelligence Capabilities Stack: The D&A Foundation You Need to Drive Innovation and Resilience

Carlie Idoine, VP Analyst, Gartner
This session will provide a blueprint for the comprehensive data, analytics, and AI capabilities and services that leaders need to build to enable their organization's AI ambition. It will explore the implications of your AI ambition archetype on your buying, deployment, and organization strategies. ... Show More Show Less

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 - 11:30 AM EDT

What Keeps Data Management Leaders Up at Night in 2026?

Michael Simone, Sr Director Analyst, Gartner
This session will explore the challenges faced by data management leaders and offer actionable recommendations to address them. By understanding and overcoming these obstacles, leaders can optimize their data management strategies and drive more informed decision making. ... Show More Show Less

12:45 PM - 01:15 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

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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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