Value at AI Velocity: Navigating the Now and Next
This year’s conference empowers data and analytics leaders to deliver value at AI speed — driving impact, scaling high-value initiatives and balancing risk. Learn to unlock data’s potential for today’s wins and future success.
Conference Topics at a Glance
The 2026 conference agenda will help you navigate disruption, drive innovation and lead through change. Explore practical strategies for delivering value, advancing AI, and building resilient, future-ready organizations.
2026 Conference Theme
AI, GenAI and AI Agents
Get practical guidance for building and scaling AI, generative AI and AI agents. Learn to optimize costs, manage risk and deliver business value from your AI investments.
Data, Analytics and AI Governance
Explore frameworks and best practices for data, analytics and AI governance. Sessions cover risk, privacy, ethics, and building a culture of trust and accountability.
Articulating the Business Value of Data and Analytics
Learn how to communicate and prove the value of D&A. Discover ways to build business cases, measure ROI and show D&A’s impact on business goals.
Look back at 2025 conference sessions
Hundreds of conference sessions were presented at Gartner Data & Analytics Summit 2025. While we work to develop this year’s agenda, filter to see sessions that align with your role and interests.
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Tuesday, 17 June, 2025
10:30 AM - 11:00 AM AEST
The Future of Computing Is Data Driven
Frank Buytendijk,
Distinguished VP Analyst, Gartner
The future of computing will be a virtuous cycle, where use cases drive compute mechanisms and vice versa, supporting human endeavors in a digital world. Data is central, but computing's future isn't a single paradigm. Its impact will deeply affect business and society, from augmenting human capability to autonomy. What will the three horizons look like? Join this session to learn more.
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10:30 AM - 11:00 AM AEST
The Future of Analytics in the Era of Generative AI
Georgia O'Callaghan,
Director Analyst, Gartner
Analytics is experiencing another monumental change. Just as visual drag and drop BI tools and augmented insights led to changes in analytics delivery, we now experience conversational interfaces, automated workflows and AI agents that cause us to rethink how analytics will be done. Join this session to learn the new technologies that are making an impact and how this will affect plans for future investment in analytics tools, platforms and solutions.
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10:30 AM - 11:00 AM AEST
Top Data and Analytics Predictions, 2025
Carlie Idoine,
VP Analyst, Gartner
This presentation of Gartner's top D&A predictions for 2024 guides data and analytics leaders as they plan for the impact of AI on all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization.
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10:30 AM - 11:00 AM AEST
Scale AI From Pilot to Production With AI Engineering
Afraz Jaffri,
Sr Director 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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10:30 AM - 11:00 AM AEST
5 Things That Keep Heads of Governance Up at Night
Guido De Simoni,
VP Analyst, Gartner
We will discuss the latest burning issues that heads of data governance must address, and also provide recommendations to manage and exploit emerging opportunities. With an understanding of the influencing drivers and trends, leaders will be equipped to optimize their data governance strategy.
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12:00 PM - 12:30 PM AEST
The Peculiarly Challenging Business Case for GenAI
Luke Ellery,
VP Analyst, Gartner
GenAI may excelling in some areas but fail in others, complicating the business case. CIOs often underestimate costs, which can scale by 500%-1000%. Productivity is a key benefit but hard to prove to CFOs. Should you invest in chat-style GenAI for 100K employees or near-custom AI for 50 R&D staff? Join our session to master cost scaling, value harvesting beyond productivity, and creating a portfolio of GenAI investment options.
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12:00 PM - 12:30 PM AEST
Composite AI: One Single Model Is Not All You Need
Ben Yan,
Sr Director Analyst, Gartner
Relying on a single model for AI solutions due to the hype of powerful GenAI models in the market is a common pitfall in AI adoption for enterprises. D&A leaders and the teams should avoid this pitfall by using systems thinking and clarifying the limitations with stakeholders. This session will introduce practices that go beyond a single model for more powerful, reliable and efficient AI solutions.
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12:00 PM - 12:30 PM AEST
Why Building a Case for MDM Is Harder Than You Think
Sally Parker,
Sr Director Analyst, Gartner
Have you ever struggled to secure buy-in to a no-brainer MDM strategy? MDM programs exist to support business outcomes, yet business cases often focus on the how not the why, leaving stakeholders disengaged. In this session we explore what constitutes a strong MDM value proposition that will engage stakeholders from business case, through execution and stewardship.
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12:00 PM - 12:30 PM AEST
Top 5 Analytics & AI Challenges and How to Handle Them
Anirudh Ganeshan,
Sr Principal Analyst, Gartner
Heads of analytics & AI face many challenges such as keeping afloat, staying the course or racing ahead in the race for AI superiority. This session will focus on the top fears, risks, objections and hurdles leaders of Analytics & AI face and most importantly, how to handle them.
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