All Gartner Data & Analytics 2026 Conference Sessions

The 2026 agenda dives deep into key topics for data, analytics and AI leaders around agentic AI, governance, leadership, data architecture and more to help you address your organizations’s mission-critical challenges.

2026 Conference Theme

Value at AI Velocity: Navigating the Now and Next

As AI accelerates change across industries, leaders must deliver immediate impact while preparing for future developments. This year’s conference focuses on overcoming challenges like scaling AI, managing disruption, and balancing risk using governance—helping leaders unlock data’s full potential for lasting success.

Explore our conference sessions below, all developed with this theme in mind. Take a look at the list of tracks available onsite.

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Hear from past Gartner Data & Analytics Summit attendees on how they leverage the conference agenda, networking opportunities and expert interactions to help address their most urgent data and analytics priorities. 
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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

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 D&A Governance
Sarah Turkaly, 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 Canvas: The D&A 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

The Future of Dashboards: How to Modernize Analytics
Fay Fei, Director Analyst, Gartner
The buzz: “Dashboards are dead.” Yet, they remain the backbone of enterprise analytics for operational oversight. GenAI is revolutionizing the space, promising to streamline migration and inject intelligence, but only 8% of new reports use it today. Explore the “death of dashboards” narrative, along with the opportunities and pitfalls of modenizing to next-gen analytics. ... 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

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