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

10:00 AM - 10:20 AM AEST

Acceldata: Beyond the Lakehouse: Agent-Ready Data Architecture for the Autonomous Enterprise

Ashwin Rajeeva, CO-FOUNDER & CHIEF TECHNOLOGY OFFICER, Acceldata
The Lakehouse was built for human analytics and classic AI. Agents are different: continuous, contextual, and intolerant of stale or ungoverned data. In this session, Ashwin Rajeeva explores what agent-ready data architecture requires — federated access across hybrid environments, continuous observability, and runtime governance — plus a four-phase maturity model for scaling enterprise AI agents into production. ... Show More Show Less

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 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

11:15 AM - 11:45 AM AEST

IBM: Delivering Governed Real-time Data for AI at Scale
As organisations scale AI beyond pilots, the challenge becomes maintaining trust, control, and compliance. Sovereignty now means operational authority over data, models, and decisions at runtime. This session explores how to govern AI at scale, manage emerging risks, and enable trusted, compliant AI across hybrid environments. ... Show More Show Less

11:15 AM - 11:45 AM AEST

Neo4j: How Context Graphs Power the Next Generation of Autonomous Agents
Dan McGrath, Vp. Product Management Cloud, NEO4J, INC.
Autonomous agents remain limited without context, leading to hallucination and disconnected reasoning. Building dependable agents requires a fundamental shift in data architecture. Learn how Electronic Arts (EA) achieved 10× faster time-to-insight and improved agent reliability through graph-based context engineering - proof that the future lies in Context Graphs, not simple context windows. ... Show More Show Less

11:15 AM - 11:45 AM AEST

Qlik: Garbage In, Gold Out
Charlie Farah, FIELD CTO, Qlik
Everyone talks about “AI ready data." Few have it. This session challenges the perfection myth and shows CDAOs, CIOs, and AI leaders how to turn flawed, fragmented data into fast, trusted outcomes. Learn how pragmatic ways to strengthen trust through quality, transparency, and governance to unlock the confidence to scale decisions and real AI results. ... Show More Show Less

11:15 AM - 11:45 AM AEST

SAP: From Fragmentation to Trusted AI: The SAP Data Reboot
Jon Gooding, APJ Data Solutions Architect, SAP
SAP Business Data Cloud is redefining what’s possible with your most critical data. By unifying SAP and non-SAP data with preserved business semantics through zero-copy partnerships across Databricks, Snowflake, Google, AWS, and Microsoft, SAP delivers the AI-ready foundation modern enterprises need. In this session you'll see how simple it is to bring data together and build a business fabric - enabling faster decisions and trusted AI outcomes

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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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