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At the Gartner Data & Analytics Summit, Heads of AI have a unique opportunity to engage directly with the latest Gartner research, actionable frameworks, and practical case studies—all designed to address the mission-critical priorities of AI leaders. Join interactive sessions to see how top organizations are translating AI strategy into real enterprise value, accelerating transformation, and tackling complex challenges in governance, risk, and innovation. Collaborate with Gartner analysts and industry visionaries on-site, and leave equipped with tailored solutions you can implement immediately.

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      Explore Sessions and Tracks Tailored to Your Mission-Critical Priorities

      Delve into agenda highlights and trending sessions that align with the top priorities for AI leaders—from scaling and integrating AI across the enterprise, to evolving your strategic influence, to governing agentic and autonomous systems. Chart a course for next-level AI success by connecting with visionary peers and thought leaders shaping the future of data and analytics.

      As we are building the agenda, explore the mission critical priorities for AI Leaders that are shaping the sessions: 
      • Accelerate Enterprise AI Value Realization at Scale
      • Govern Agentic AI for Greater Business Autonomy
      • Evole the Stratgic Role of the AI Leader
      • Drive AI Transformation for Sustainable Competitive Advantage
      • Scale and Integrate AI to Maximize Value, Minimize Risk
      • Establish Robust AI Governance and Organizational Trust
      • Strengthen AI Engineering Foundations to Mitigate Risk and Unlock Innovation

      Only 11% of CFOs say their organization has seen financial value from AI in 2025.

      •  Establish Use Case Prioritization Framework 
      • Establish Value Metrics 
      • Create a High-Value AI portfolio 
      • Deploy, Track and Automate Value Capture 
      • Continuously Refine AI Solutions

      59% of CIOs have either already adopted or plan to adopt Agentic AI in the next 12 months. 

      •  Prioritize AI Agent Use Cases 
      • Govern and Mitigate AI Agent Risks 
      •  Pilot and Iterate AI Agent Pilots 
      • Build the Core Agent Platform 
      • Scale Agentic AI for Business Transformation

      91% of high-maturity AI organizations report having dedicated AI leaders, compared to only 37% of low-maturity organizations.

      •  Redefine Leadership Mandate 
      • Champion Cross-Functional Alignment
      •  Shape Organizational Culture 
      • Drive Continuous Learning 
      • Represent AI at the Highest Levels

      77% of CEOs believe AI will have the most significant impact on their industries over the next three years.

      • Diagnose Opportunities and Threats 
      • Articulate a Bold AI Vision 
      • Redefine Your Business Strategy 
      • Build the AIEcosystem 
      • Pilot and Scale the AI Transformation

      71% of CEOs say their operating models are not fit for AI purpose.

      • Assess Current AI Maturity 
      • Develop a Scalable AI Roadmap 
      • Formalize the AI Operating Model 
      • Embed Governance and Security 
      • Monitor and Optimize Impact

      Only 23% of IT leaders are very confident in their organizations’ ability to manage security and governance when deploying GenAI tools.

      • Design Governance Frameworks 
      • Mitigate Top AI Risks 
      • Set Up Your AI Governance Structure and Operating Model 
      • Monitor and Enforce Compliance 
      • Scale AI Governance

      Only 42% of AI prototypes reach production.

      • Assess Technical Infrastructure 
      • Establish AI Engineering Standards 
      • Build End-to-End AI Pipelines 
      • Define Technical Roadmap and Vendor Strategy 
      • Formalize Roles and Teams for AI Engineering

      Explore the business case for AI with Gartner Analysts

      In this video Nate Suda, Senior Director Analyst at Gartner, will walk you through how to describe, quantify and communicate Gen AI’s unique value ranging from everyday impact to transformative outcomes. Discover the three currencies of value: return on employee, return on investment and return on the future. Watch now to understand more about the intricacies and economics of Gen AI.