Experience the difference. Meet your peers, talk with experts, build your network and turn insights into action.
Adam Ronthal
VP Analyst
Gartner
Speaker Topics
- Artificial Intelligence (AI)
- Data Architectures (inc. Data Fabric, Data Lakes, Data Warehouse)
- Ready Your Data for AI
- 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, 20 May, 2025 09:30 AM - 10:15 AM JST
Gartner Opening Keynote: Scale Data and Analytics on Your AI Journeys
Adam Ronthal,
VP Analyst, Gartner
Carlie Idoine,
VP Analyst, Gartner
With high D&A ambitions and AI pilots becoming increasingly ubiquitous, focus is shifting toward consistent execution. We will share how to continue innovating and experimenting while scaling success. In this keynote, Gartner’s perspective will guide you on preparing for the expected and adapting to the unexpected. Learn to enhance your D&A and AI capabilities on the path to success.
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Wednesday, 21 May, 2025 04:15 PM - 04:45 PM JST
Simplify the Complex Data Management Infrastructure with Data Ecosystems
Adam Ronthal,
VP Analyst, Gartner
Data ecosystems, built on data fabric design and infused with AI, promise an integrated, cost effective, and operationally simple approach to varied data management challenges. However, they don't yet always deliver on that promise. This research explores the maturity of various ecosystem components and provides a guide for D&A leaders and others looking to invest in data foundations for competitive differentiation.
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Thursday, 22 May, 2025 09:30 AM - 10:00 AM JST
Ready Your Data For AI
Adam Ronthal,
VP Analyst, Gartner
With growing focus on AI in organisations, deliveringAI-ready data has become the number one investment priority of data management leaders. This session will define AI-ready data, how it differs from traditional data management and discuss AI-ready data practices and technologies.
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