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Adam Ronthal
VP Analyst
Gartner
Speaker Topics
- Agentic Analytics and AI
- Trends and Futures
- Data Ecosystems
- Overall Data and Analytics Strategy
Speaker Bio
Adam Ronthal is a Research VP in Gartner's Data and Analytics group covering data management with a primary focus on database management systems, technologies and strategies. Mr. Ronthal's areas of specialization include data ecosystems, analytic and operational databases, cloud, financial governance for cloud and FinOps for D&A. Mr. Ronthal joined Gartner in January 2015 and is based in Toronto, Canada.
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Sessions
Tuesday, 19 May, 2026 09:30 AM - 10:15 AM JST
Gartner Opening Keynote: Navigate AI on Your Data & Analytics Journey to Value
Adam Ronthal,
VP Analyst, Gartner
AI is accelerating new possibilities for data and analytics everywhere. Success isn’t always about being the fastest, but about finding your own path to value, while managing risk and cost. Join our Gartner’s Opening Keynote to discover how a thoughtful approach to speed and direction helps you prepare for what’s next, no matter where you are today.
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Wednesday, 20 May, 2026 12:30 PM - 01:00 PM JST
Signature Series: State of D&A 2026
Adam Ronthal,
VP Analyst, Gartner
D&A leaders are navigating unprecedented uncertainty and complexity, driven by shifting business expectations regarding the capabilities, cost, and value of D&A functions. Results from Gartner's 11th annual CDAO agenda survey show that the most successful D&A leaders manage resources for productivity, build scalable technology, and imbue their own internal processes with AI. For many D&A functions, this amounts to a full-stack transformation and a hard break from preexisting operating models focused on service delivery. This session describes the challenging path ahead and how to set the right pace of change.
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Thursday, 21 May, 2026 01:30 PM - 02:00 PM JST
The Intelligence Capabilities Canvas: The D&A Foundation You Need to Drive Innovation and Resilience
Adam Ronthal,
VP Analyst, Gartner
This session will provide a blueprint for the comprehensive data, analytics, and AI capabilities and services that leaders need to build to enable their organization's AI ambition. It will explore the implications of your AI ambition archetype on your buying, deployment, and organization strategies.
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