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

The pace of AI innovation is forcing DA leaders and their teams to deliver measurable business value faster than ever before. 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.

Explore our conference sessions below, all developed with this theme in mind.

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There are hundreds of sessions happening each day. Filter to see sessions that align with your role and interests. After registering for the conference, craft your agenda and book priority sessions — all through Conference Navigator.

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Monday, 21 September, 2026

11:00 AM - 11:20 AM IST

Reference Architecture Brief: Data Management Architecture

Ramke Ramakrishnan, VP Analyst, Gartner
In this session, you’ll explore a reference architecture that serves as a blueprint for future-proofing your data and analytics environment. Through practical, step-by-step guidance, you’ll learn how to align your technology stack with business objectives — whether you're modernizing an existing architecture or building one from the ground up. ... Show More Show Less

12:30 PM - 12:50 PM IST

Understanding the Intelligent Capabilities Framework to Plan Your D&A Architecture

Gareth Herschel, VP Analyst, Gartner
The intelligent capabilities framework enables organizations to understand the range of functionality they need to enable a complete D&A ecosystem. This session will explain the ICF as well as show a Gartner tool to help quickly compare vendors across multiple markets. ... Show More Show Less

02:30 PM - 03:15 PM IST

Ask the Analyst: How to Build Your Lakehouse Architecture?

Prasad Pore, Sr Director Analyst, Gartner
The lakehouse architecture is becoming the cornerstone of modern data management for analytics and AI, yet it faces design challenges due to multiple interpretations of the purpose of data zones or medallion layers. This session provides clarity on the purposes and the design principles of the lakehouse architecture. ... Show More Show Less

04:15 PM - 04:45 PM IST

From Silos to Synergy: How the Data Management Market is Evolving into Converged Platforms

Ehtisham Zaidi, VP, Team Manager, Gartner
Data management platforms emerge through the convergence of several individual data management capabilities. D&A leaders keen on data platform modernization should join this breakout session to learn about the dynamics of this emerging market and the benefits of reducing architectural silos to meet data demands for both current and innovative use cases. ... Show More Show Less
Tuesday, 22 September, 2026

05:00 PM - 05:30 PM IST

How is Agentic AI Impacting and Disrupting Your Data Management Discipline and Technology NOW?

Ramke Ramakrishnan, 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

05:00 PM - 05:30 PM IST

The Forgotten Art of Data Science in AI

Cuneyd Kaya, Director Analyst, Gartner
While AI is gaining the attention of business leaders, data science remains an important business capability for driving decision making that should not be neglected. The choice is not between AI and data science but on how to combine predictive and prescriptive techniques so organizations can leverage the best of both worlds to create better solutions. ... Show More Show Less

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