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
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 - 11:30 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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11:00 AM - 11:30 AM EST
What Everyone in D&A Needs to Know About (Generative) AI: The Foundations
Deepak Seth,
Director Analyst, Gartner
Dive into the symbiotic relationship between data and AI in this session. Explore how robust data foundations are critical for developing effective AI systems and how AI, in turn, enhances data quality. Gain actionable insights into transforming raw data into intelligent solutions and leveraging AI for business innovation. Ideal for data and analytics leaders aiming to understand and master the interplay between data and AI for strategic advantage.
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11:00 AM - 11:30 AM EST
How to Choose the Right DBMS for Any Workload
Aaron Rosenbaum,
Sr Director Analyst, Gartner
Choosing the right DBMS for the right workload is vital to the success of data management and analytics. With numerous types of DBMSs on the market, selecting a proper DBMS can be overwhelming. This guidance helps data and analytics professionals to choose the right DBMS for their specific needs.
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11:00 AM - 11:30 AM EST
What D&A Leaders Need to Know About FinOps and Cloud Financial Management
Adam Ronthal,
VP Analyst, Gartner
Cloud has exposed the cost of individual workloads at a highly granular level. It is, in essence, a complex cost optimization problem. This session provides the tools for D&A leaders to understand how to manage and evolve cloud-operating models. We provide the foundations in the three rings of cloud financial management, and explore the state and future of FinOps.
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11:00 AM - 11:30 AM EST
Technical Insights: A Technical View of AI Governance
Sumit Agarwal,
VP Analyst, Gartner
AI systems can have significant impact in organizations decisions and product offerings. This has triggered a complex regulatory landscape and related organizational guidance to ensure responsible and ethical implementation of AI systems. This session provides the technology framework supporting the processes and policies for a reliable AI system that is fair, safe and secure.
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11:00 AM - 11:30 AM EST
Why Building a Case for MDM Is Harder Than You Think
Thornton Craig,
Sr Director Analyst, Gartner
Have you ever struggled to secure buy-in to a no-brainer MDM strategy? MDM programs exist to support business outcomes, yet business cases often focus on the how not the why, leaving stakeholders disengaged. In this session we explore what constitutes a strong MDM value proposition that will engage stakeholders from business case, through execution and stewardship.
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