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View tracks for data, analytics and AI executives and dive into last year’s sessions while we work on the full 2027 agenda.

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      Conference Tracks at a Glance

      AI is driving rapid change, but lasting business value comes from strong data, governance, operating models, and technology foundations. Join Gartner Data & Analytics Summit 2027 to explore AI, data and analytics strategies that deliver measurable results and growth. This year's tracks are built with this theme in mind. 

      Track A: Lead Data and AI-Drive Organizations

      A track designed for data, analytics and AI leaders, including CDAOs,  tasked with delivering business value through data, analytics and AI. These leaders deliver value and mature a data-driven culture by building trust and managing data while evolving technology capabilities.

      Track B: Scale AI and Analytics

      This track covers everything a data, analytics and AI leader need to be successful with AI including: AI strategy, responsible AI, generative AI, LLMs, retrieval augmented generation, prompt engineering, data science, ML and scalability. A track designed for leaders responsible for AI, as well as AI experts, architects and engineers.

      Track C: Drive Business Value With Data, Analytics and AI

      This track covers everything you need to connect data, analytics and AI with value. It includes decision intelligence, prioritizing the D&A and AI portfolio, communicating value and managing cost.

      Look back at 2026 conference sessions

      While we work to develop this year’s agenda, filter to see sessions that align with your role and interests.

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      Tuesday, 16 June, 2026

      10:30 AM - 11:00 AM AEST

      Data Lake, Lakehouse, Warehouse: How to Choose?
      Michael Gonzales, Sr Director 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

      10:30 AM - 11:00 AM AEST

      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

      10:30 AM - 11:00 AM AEST

      How is Agentic AI Impacting and Disrupting Your Data Management Discipline and Technology NOW?
      Mark Beyer, Distinguished VP Analyst, Gartner
      This session details how Agentic AI will impact existing data management architecture and technologies, which new use cases it enables in data management and engineering, and which skills will be needed or become obsolete. We’ll also cover how to prepare budgets, teams, and operating models for these changes. These are now valid, frequently debated questions as Agentic AI evolves. ... Show More Show Less

      10:30 AM - 11:00 AM AEST

      The Future of DA Governance
      Joel Backaler, Director Analyst, Gartner
      Data and analytics governance has historically lagged in innovating. We are at a tipping point where D&A governance can be a single point of failure for AI. To succeed, D&A leaders must evolve governance for the future while reinforcing proven practices. This session provides a forward-looking perspective on D&A governance, including governance of AI, by AI and for AI. ... Show More Show Less

      10:30 AM - 11:00 AM AEST

      The Intelligence Capabilities Framework: The DA 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

      12:00 PM - 12:30 PM AEST

      Activating AI Agents in Analytics and BI Platforms
      Fay Fei, Director Analyst, Gartner
      Analytics and business intelligence (ABI) platforms are increasingly integrating AI agents to transform how data is analyzed and insights are delivered. Data and analytics leaders need to proactively understand these shifts to maximize AI's business impact and ensure organizational readiness. Join this session to learn more. ... Show More Show Less

      12:00 PM - 12:30 PM AEST

      How to Unlock the Value of Unstructured Data for AI: Start With Governing It First
      Melody Chien, VP Analyst, Gartner
      As AI shapes business decisions, making unstructured data AI-ready is a key governance priority. The quality, accessibility and security of unstructured data directly determine the performance of AI applications, particularly for GenAI. To unlock its value for AI initiatives, data and business leaders should evolve their governance strategies to effectively manage, protect and utilize unstructured data, ensuring it is AI-ready while meeting compliance and security requirements. ... Show More Show Less

      12:00 PM - 12:30 PM AEST

      The Evolution of Data Engineering for AI
      Jason Medd, Sr Director Analyst, Gartner
      Data engineering faces increasing pressure to deliver AI-ready data that meets agentic AI requirements. This session explores changes in data engineering functions, practices, architectures and technologies. ... Show More Show Less

      12:00 PM - 12:30 PM AEST

      Using Active Metadata to Support Data Agents for AI
      Mark Beyer, Distinguished VP Analyst, Gartner
      One key to AI confidence is ensuring data as utilized by models is reasonable, representative and responsible. AI Ready data is a continuous effort to assure the data is appropriate--whether prepared prior to the AI model or as within the AI implementation itself. We discuss how active metadata is how data talks to models, models are validated by humans, and how humans communicate with models. ... Show More Show Less

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      “It was helpful to understand the latest trends in data and how we can apply this at our work place. It was also interesting to know what to look forward to in years to come in data space.”

      Nebu Sudhakaran
      Advanced Analytics Specialist, Hastings Deering

      Discover what it’s like to experience Gartner Data & Analytics Summit.