Dive into some of the key takeaways you may have missed from Gartner Data & Analytics Summit.
All 2025 Conference Sessions
Gartner Data & Analytics Summit dove deep into key topics for data and analytics leaders around data strategies, data fabric, data governance, AI and more.
Session Take-Aways
Day 1 Take-Aways
The Cost of Investment in D&A and the Importance of Managing Occupancy Rates
Speakers:
Tatsuya Ichishi, Sr Director Analyst, Gartner
D&A efforts require building the infrastructure, purchasing the tools, and maintaining them, plus labor costs. It is true that ROI cannot be calculated because it is difficult to define the revenue to be gained from D&A, but the investment at least needs to be accurately captured and data-driven to ensure accountability and deliberate on its validity.
Day 2 Take-Aways
Top 10 Reasons Why Gen AI Projects Fail and How to Fix it
Speakers:
Wataru Katsurashima, VP Analyst, Gartner
More than 50% of generative AI projects fail. This session will help data & analytics leaders learn the common causes of failures and understand best practices to mitigate those failures and scale AI across the enterprise.
Day 3 Take-Aways
AI Agents: Are You Ready to Set Your AI Free?
Speakers:
Pieter den Hamer, VP Analyst, Gartner
AI agents are emerging as an important trend since they enable levels of business adaptability, flexibility and agility that traditional AI systems can’t achieve. This flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. Autonomous behaviors, despite significant societal, legal and ethical implications, are the answer to the increasing complexity in our enterprise systems.
Look back at the 2025 conference sessions
Hundreds of conference sessions were presented each day at the Gartner Data & Analytics Summit. While we work to develop 2026's agenda, filter to see sessions that align with your role and interests.
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Tuesday, 20 May, 2025
12:30 PM - 01:00 PM JST
Foundational Concepts and Future Innovations of MDM
Sally Parker,
Sr Director Analyst, Gartner
A heightened need for trust in our data, its lineage, and use, has propelled governance of master data, in particular, from a nice-to-have to a critical foundational pillar of D&A and AI initiatives. This session covers key considerations across people, process and technology in running a successful MDM program that delivers tangible business value and sustainable governance.
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12:30 PM - 01:00 PM JST
How to Effectively Communicate With the Board About AI
Yoshi Matsumoto,
Distinguished VP, Advisory, Gartner
Nonexecutive directors are increasingly expressing interest in AI. The board oversight role is increasingly facing questions about AI technologies, how they help enterprises deliver on shareholder value, or pose risks to enterprises and industries. This session focuses on how CIOs and other C-suite leaders can effectively communicate with boards regarding current issues and opportunities with AI.
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12:30 PM - 01:00 PM JST
Top Trends in Data and Analytics 2025
Nate Novosel,
VP Analyst, Gartner
AI is having a huge impact, but is not the only thing with societal, technological, and organizational implications driving change in data and analytics. We examine trends in areas such as complexity, trust, and empowerment facing leaders and teams as they make decisions in all aspects of their bet-the-business D&A strategy.
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02:00 PM - 02:30 PM JST
How the CDAO and Data Office Can Move Into Positions of Power
Sarah James,
Sr Director Analyst, Gartner
Many CDAO were technical practitioners first but success as a CDAO requires an enhanced skill set of an elite executive. Many data functions operate as data order takers and service providers for their organization, restricting their influence and impact. This session examines the ways in which the CDAO and the data functions can elevate themselves into positions of power and influence.
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02:00 PM - 02:30 PM JST
Key Trends for Analytics and Business Intelligence
Julian Sun,
VP, Team Manager, Gartner
Today's ABI platforms must support the needs of IT, business analysts and analytic content consumers. While tight integration with cloud ecosystems, business applications and digital workplace tools is a key vendor selection requirement, buyers also need ABI platforms to support openness and interoperability. This research helps data and analytic leaders plan for and select these platforms.
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02:00 PM - 02:30 PM JST
Data Security: New approach for Data Management Program
Kaoru Yano,
Sr Director Analyst, Gartner
Security is one of the key factors for evaluating the real value of data assets. It will be necessary for your data management program to align with the security classification to reduce data security risks. This session will cover the data security and data protection trends that leaders in data management programs should know about.
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04:15 PM - 04:45 PM JST
Technical Insights: How to Supplement Large Language Models With Your Internal Data
Jason Medd,
Sr Director Analyst, Gartner
This session is crucial for organizations aiming to maximize the utility of large language models by integrating internal data. Gain actionable insights and practical solutions to improve model performance and business outcomes. Ideal for technology leaders, data scientists and business strategists looking to harness the full power of LLMs.
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04:15 PM - 04:45 PM JST
What Everyone in D&A Needs to Know About (Generative) AI: The Foundations
Pieter den Hamer,
VP Analyst, Gartner
Dive into the symbiotic relationship between data and Artificial Intelligence in this comprehensive session. Explore how robust data foundations are critical for developing effective AI systems and how AI, in turn, refines and enhances data quality. Gain actionable insights into transforming raw data into intelligent solutions and leveraging AI to drive business innovation.
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04:15 PM - 04:45 PM JST
The Cost of Investment in D&A and the Importance of Managing Occupancy Rates
Tatsuya Ichishi,
VP, Team Manager, Gartner
D&A efforts require building the infrastructure, purchasing the tools, and maintaining them, plus labor costs. It is true that ROI cannot be calculated because it is difficult to define the revenue to be gained from D&A, but the investment at least needs to be accurately captured and data-driven to ensure accountability and deliberate on its validity.
...
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