All 2026 Conference Sessions

Gartner Data & Analytics Summit 2026 dives deep into key topics for data, analytics and AI leaders and more to help you address your organization’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/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.

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

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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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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Tuesday, 19 May, 2026

02:00 PM - 02:30 PM JST

How to Build and Manage Data Products Efficiently (Technology and Architecture Perspectives)
Prasad Pore, Sr Director Analyst, Gartner
Many organizations pursue data products; however, sustaining their success seems challenging. This breakout session is a compilation of several case studies and best practice recommendations for D&A leaders who seek guidance in executing their data product strategy. ... Show More Show Less

04:15 PM - 04:45 PM JST

Unstructured Data Management Is the Missing Ingredient to Prepare GenAI-Ready Data
Jason Medd, Sr Director Analyst, Gartner
Almost every GenAI use case requires organizations to extract, qualify and govern significant volumes of unstructured data. Data management leaders must deliver workflows that orchestrate entity extraction, vector data embeddings and semantic data enrichment with structured data pipelines to deliver GenAI-ready data. Join this session to learn more. ... Show More Show Less
Wednesday, 20 May, 2026

12:30 PM - 01:00 PM JST

AI-Ready Data--Lessons Learned Become Practices to Follow
Xingyu Gu, Sr Director Analyst, Gartner
No data? No AI! No metadata? No data! Gartner codified AI-ready data concepts and crafted the language in mid-2022. Practices have evolved for the four AI-ready data modes and 30 expected data evaluation and preparation steps. In this session, we recap the approach combined with how organizations are using AI data readiness as a foundation to evolve toward standardizing data for production AI. ... Show More Show Less

02:00 PM - 03:00 PM JST

Contract Negotiation Clinic: How to Negotiate With Microsoft
Koichiro Yumi, Sr Principal Analyst, Gartner
The complexity of Microsoft's licensing scheme and the number of contractual options often make it difficult for IT leaders to negotiate contracts and renewals. This interactive clinic describes strategies for IT leaders to successfully negotiate such contracts, which encourage risk reduction and value maximization. ... Show More Show Less

04:15 PM - 05:00 PM JST

Ask the Expert: Should We Move to Databricks for Data, Analytics and AI?
Xingyu Gu, Sr Director Analyst, Gartner
Databricks has achieved rapid growth globally, including Japan, due to its cloud-neutral approach and comprehensive capabilities in data management, analytics and AI. However, Japanese users face challenges like cost management and integration with existing platforms. This session covers key considerations for vendor selection, including Databricks. D&A leaders should understand how to estimate future needs and mitigate risks when engaging with this vendor, especially compared to competitors. ... Show More Show Less

04:15 PM - 04:45 PM JST

Best Practices for Implementing and Maintaining a Data Catalog
Jason Medd, Sr Director Analyst, Gartner
This session covers practical steps, common mistakes to avoid, and key factors for launching data and maintaining a data catalog. Discover how to assess your organization’s metadata requirements, define clear goals, and apply best practices for a smooth implementation and ongoing success. ... Show More Show Less

05:45 PM - 06:15 PM JST

Data Lake, Lakehouse, Warehouse: How to Choose?
Prasad Pore, 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
Thursday, 21 May, 2026

09:30 AM - 10:00 AM JST

Build a Solid Foundation for Data and AI Success With Critical Data Management Technologies
Jason Medd, Sr Director Analyst, Gartner
Data management tools provide significant capabilities to ensure good data for your data and AI initiatives. For example, metadata tools help discover and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for data and AI initiatives. ... Show More Show Less

01:30 PM - 02:00 PM JST

How is Agentic AI Impacting and Disrupting Your Data Management Discipline and Technology NOW?
Xingyu Gu, Sr Director 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

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“I found it valuable that there were several sessions addressing business-critical questions, such as how to evaluate the value of data and how the D&A department can establish a framework for management and internal stakeholders to assess the value of D&A.”

Deputy Manager, Manufacturing 

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