Dive into some of the key take-aways you may have missed from Gartner Data & Analytics 2025.
All 2025 Conference Sessions
Gartner Data & Analytics Summit 2025 dove deep into key topics for data, analytics and AI leaders around data strategy, data governance, AI and more.
Session Take-Aways
Day 1 Take-Aways
Gartner Opening Keynote: Scale Data and Analytics on Your AI Journeys
Speakers:
- Ehtisham Zaidi, VP Analyst, Gartner
- Aura Popa, Senior Director Analyst, Gartner
Key take-aways
- “49% of organizations say demonstrating the value of AI is a top barrier.”
- “Over half of organizations have issues with their data.”
- “Businesses not understanding D&A is a top three challenge to D&A leaders.”
- “Data quality is a top challenge for D&A leaders.”
Day 2 Take-Aways
Top Trends in Data and Analytics 2025
Speakers:
- Shubhangi Vashisth, Director Analyst, Gartner
Key take-aways
Trend No. 1: Highly Consumable Data Products: “Start with business-critical use cases, correlate and scale products to reduce data delivery bottlenecks.”
Trend No. 2: Metadata Management Solutions: “Start with technical metadata and add business metadata to enable context.”
Trend No. 3: Multimodal Data Fabric: “Build a metadata management practice where tools share metadata across the entire data pipeline. Use tools to remove duplicate metadata and share metadata bidirectionally with other tools.”
Trend No. 4: AI Agents: “Apply actionable AI to move the needle of automation further.”
- Trend No. 5: Small Language Models: “Harness proprietary knowledge for higher reliability.”
Look back at 2025 Conference Sessions
Hundreds of conference sessions were presented each day at the Gartner Data & Analytics Summit 2025. While we work to develop the 2026 agenda, filter to see sessions that align with your role and interests.
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Monday, 02 June, 2025
11:00 AM - 11:30 AM IST
How to Create an Optimal Data & Analytics Organizational Model
Michael Gabbard,
Sr Director Analyst, Gartner
To position their teams as a must-have discipline that can fulfill cross-functional use cases, D&A leaders must optimize their organizational model. The optimal organizational model is one that balances enterprisewide capabilities focused on enablement with decentralized needs focused on outcomes. In this session you will learn the design principles behind the right D&A organizational model and how to balance a centralized team (focused on enablement) and decentralized needs (focused on outcomes).
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11:00 AM - 11:30 AM IST
Scale AI from Pilot to Production with AI Engineering
Chirag Dekate,
VP Analyst, Gartner
Moving AI projects from pilot to production requires substantial effort for most enterprises. AI Engineering provides the foundation for enterprise delivery of AI and generative AI solutions at scale unifying DataOps, MLOps and DevOps practices. This session will highlight AI engineering best practices across these dimensions covering people, processes and technology.
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11:00 AM - 11:30 AM IST
Create Metrics That Matter
Christopher Long,
Director Analyst, Gartner
Organizations have a lot of metrics, but few have the kind of metrics that move the needle on performance. This presentation discusses techniques you can apply to create metrics that compel users to run to their dashboards every morning.
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11:00 AM - 11:30 AM IST
Data Products: How You Should Build, Manage and Sustain Them for D&A Success
Robert Thanaraj,
Sr Director Analyst, Gartner
Data products are all the rage within D&A functions as the next wave of potential solutions to reduce the business-IT friction and provide sustained means to data delivery. However, there are many challenges. This session will help D&A leaders understand and build data products, manage and govern them through contracts, and sustain them through marketplaces, governance, and ops best practices.
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12:30 PM - 01:00 PM IST
Techniques to Drive Pervasive D&A Usage
Gareth Herschel,
VP Analyst, Gartner
The biggest cause of D&A failure is that the users don't use the data, insights, or tools to drive business value. Ensuring adoption is never easy, but there are some proven techniques to drive pervasive D&A usage.
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12:30 PM - 01:00 PM IST
Top 10 Best Practices for Optimizing Generative AI Costs
Deepak Seth,
Director Analyst, Gartner
Generative AI costs can rapidly escalate due to poor architectural decisions, lack of operational know-how and inadequate governance. In this session, we outline the top ten best practices that D&A leaders can adopt to optimize costs, enabling them to achieve quicker business value and operational efficiency.
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12:45 PM - 01:15 PM IST
Use Trust Models to Drive Data and Governance Success
Yogesh Bhatt,
Sr Director Analyst, Gartner
Trust models enable D&A governance leaders to understand how data, analytics and AI assets are used across their enterprise to support business outcomes. This session will help you understand what trust models are, and how they can be used to drive better business outcomes.
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02:30 PM - 03:00 PM IST
Unlocking the Future: How Python, Spark and Open Table Formats are Revolutionizing D&A Architectures
Ramke Ramakrishnan,
VP Analyst, Gartner
It's now easier than ever for less technical users to access, manage and analyze data without needing help from IT. But, self-service data management isn't always straightforward, and there are plenty of pitfalls, like data quality issues, skills gaps and governance concerns. This session will cover practical ways to make self-service data management work.
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02:30 PM - 03:00 PM IST
The Pillars of a Successful AI Strategy
Chirag Dekate,
VP Analyst, Gartner
The enormous potential business value of AI is not going to materialize spontaneously. AI leaders should guide their organization toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor.
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