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
12:45 PM - 01:15 PM EST
Executive Story: AI - Playing Offense and Defense
Bryan Swann,
Head of Enterprise Data Risk, Capital One
Ryan Swann,
Chief Data and Analytics Officer, Vanguard
Ryan and Bryan Swann will co-present on the value of deploying Offensive and Defensive strategies to unlock the value of AI and data. The presentation will highlight examples where powerful Data Offense strategies leverage GenAI, ML models, and other Data Analytics tools to drive business results, enable large scale operational efficiencies, and improve client outcomes. Insightful Data Defense strategies allow us to maintain client trust through ethical/appropriate use of their data, while ensuring governance guardrails are in place to responsibly iterate on the data, analytics, and AI/ML journey. The good news is they both cannot just exist but thrive. ... Show More Show Less
Tuesday, March 04, 2025
04:00 PM - 04:30 PM EST
Executive Story: Data Autonomy - Reimaging Data as Autonomous and Intelligent
Jeff Schwefler,
Cyber Analytic Department Manager, MITRE Corporation
The Department of Homeland Security and MITRE are pioneering concepts to safeguard data at every stage of its journey, no matter where it resides. The novel Data Autonomy Framework transforms enterprises into data-first environments, where data is self-defined, intelligent, and secure. In this paradigm, data controls its identity, defines security and visualization rules, tracks changes, handles compensation for its use, and more. Data Autonomy concepts increase trusted data use and collaboration while enhancing processing, privacy, and security. It tackles critical national security concerns like cybersecurity and data privacy, while also benefiting society by enabling broader, more trusted use of data.
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