Value at AI Velocity: Navigating the Now and Next
This year’s conference empowers data and analytics leaders to deliver value at AI speed — driving impact, scaling high-value initiatives and balancing risk. Learn to unlock data’s potential for today’s wins and future success.
Conference Topics at a Glance
The 2026 conference agenda will help you navigate disruption, drive innovation, and lead through change. Explore practical strategies for delivering value, advancing AI, and building resilient, future-ready organizations.
2026 Conference Theme
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.
Data, Analytics and AI Governance
Explore frameworks and best practices for data, analytics, and AI governance. Sessions cover risk, privacy, ethics and building a culture of trust and accountability.
Articulating the Business Value of Data & 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.
Look back at the 2025 Conference Sessions
Hundreds of conference sessions were presented each day at the 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 03, 2025
09:30 AM - 10:15 AM EST
Gartner Opening Keynote: Scale Data and Analytics on Your AI Journeys
Gareth Herschel,
VP Analyst, Gartner
Carlie Idoine,
VP Analyst, 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.
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11:00 AM - 12:30 PM EST
Workshop: How to Gain Enterprise Support for Data Governance
Amy Bickel,
Director Analyst, Gartner
David Newman,
Executive Partner, Domains, Gartner
This primary goal of this workshop is to equip participants with strategies and practical techniques to secure enterprisewide support for data governance initiatives. The workshop focuses on building a compelling business case, engaging key stakeholders and demonstrating the value of data governance to the organization.
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11:00 AM - 11:20 AM EST
Hype Cycle for Data and Analytics Governance
Guido De Simoni,
VP Analyst, Gartner
Find out about the emerging, most hyped and ready for prime-time concepts and technologies in data and analytics governance.
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11:00 AM - 11:30 AM EST
Top 5 Analytics & AI Challenges and How to Handle Them
Kurt Schlegel,
VP Analyst, Gartner
Heads of analytics & AI face many challenges such as keeping afloat, staying the course or racing ahead in the race for AI superiority. This session will focus on the top fears, risks, objections and hurdles leaders of Analytics & AI face and most importantly, how to handle them.
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11:00 AM - 11:30 AM EST
What Keeps Data Management Leaders Up at Night in 2025
Michael Simone,
Sr Director Analyst, Gartner
This session will delve into the challenges data management leaders face and provide recommendations to address them. By understanding and tackling these challenges, leaders can optimize their data management strategies and drive informed decision making.
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11:00 AM - 11:45 AM EST
Roundtable: Insurance - Using Analytics and AI to Manage and Prevent Fraud
Kimberly Harris-Ferrante,
Distinguished VP Analyst, Gartner
Fraud is a large industry problem that historically has cost the industry billions of dollars. New approaches and technologies, especially in the field of analytics and AI, are emerging to help insurers manage these risks. This roundtable will discuss new advancements and best practices of fraud management and prevention.
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11:00 AM - 12:30 PM EST
Workshop: Avoiding the Top Mistakes in Your Dashboard Through Best Practices in Data Storytelling
Aura Popa,
Sr Director Analyst, Gartner
Brad Erickson,
Sr Executive Partner, Domains, Gartner
D&A value is not possible without data storytelling that offers a better way to engage communication findings than just BI reporting or data science notebooks. Join this session to know about the fundamentals of data storytelling and how to fill the gap between data science speakers and decision makers. It further discusses how to tell the best data storytelling and how to upscale data storytelling for future in landscape of GenAI.
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11:00 AM - 11:30 AM EST
How to Create an Optimal Data & Analytics Organizational Model
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 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).
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11:00 AM - 11:30 AM EST
Things to Know When Starting an Enterprise D&A Program
Nate Novosel,
VP Analyst, Gartner
When launching a data and analytics function, there are a lot of capability and organizational model decisions that need to be made. Unfortunately, there are also various political and other considerations to be kept in mind when defining the program. In this session, we'll discuss the scope, structur, and staffing considerations of a new D&A function.
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