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Jim Hare
Distinguished VP Analyst
Gartner
Speaker Topics
- Strategic Leadership, Planning and Execution
- Product Portfolio Management
Speaker Bio
Jim Hare is a Distinguished Vice President in the High Tech and Invest (HTI) group, part of Gartner's Business and Technology Insights business segment. He is currently the Gartner Vendor Lead Analyst (VLA) for Amazon. His core research coverage includes AI, agentic AI and data analytics.
Mr. Hare advises tech providers on how to best adapt their AI product and go-to-market strategy to emerging technologies & trends, market dynamics, and buyer preferences. He also helps providers accelerate customer value from cutting-edge AI solutions using innovative delivery models such as the Forward Deployed Engineer (FDE) approach.
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Mr. Hare advises tech providers on how to best adapt their AI product and go-to-market strategy to emerging technologies & trends, market dynamics, and buyer preferences. He also helps providers accelerate customer value from cutting-edge AI solutions using innovative delivery models such as the Forward Deployed Engineer (FDE) approach.
Sessions
Monday, March 09, 2026 11:15 AM - 11:45 AM CDT
Why Product Vision Matters More Than Ever in the AI Race
Jim Hare,
Distinguished VP Analyst, Gartner
In the race to build a great AI product, the temptation to skip the product vision will sink many providers that lack the “why” behind their product strategy. Many tech providers will mistakenly treat AI roadmaps as vision, focusing on features instead of direction, and execution instead of purpose. This session explains why product vision is the make-or-break factor for sustained success in the era of AI.
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Tuesday, March 10, 2026 10:15 AM - 11:45 AM CDT
Workshop: De-risk Agentic AI Products by Selecting the Right Design and Technologies
Jim Hare,
Distinguished VP Analyst, Gartner
Adrian Lee,
VP Analyst, Gartner
Tech providers are racing to build AI agents, but with AI agents come serious product risks: unpredictable model behavior, data leakage, cost swings, compliance issues, user trust, and more. Join this hands-on workshop to explore a practical framework for derisking AI agents using real-world examples and exercises to guide participants from ideation to scalable, value-driven product design.
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