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Hung LeHong

Seasoned Gartner analyst focused on technology trends and innovation strategy; contributed to the opening keynote on setting organizational AI pace and outcomes.

Top 3 podcasts with Hung LeHong

Ranked by the Snipd community
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46 snips
Jul 1, 2025 • 25min

Still Running Your AI Race? How to Keep Pace for the Rest of 2025

Mary Mesaglio and Hung LeHong from Gartner share their expertise on navigating the AI landscape. They discuss the concept of the 'AI tech sandwich' as a smarter alternative to traditional tech stacks. The conversation explores aligning AI governance with organizational pace and the essential role of TRiSM technologies to mitigate risks. They delve into the evolving relationship with AI tools, assessing how they might become teammates. The episode emphasizes the importance of pacing oneself amidst the hype of AI advancements.
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33 snips
Oct 14, 2025 • 27min

Your IT Symposium/Xpo Primer: Top AI Insights From the Past Year

Hung LeHong, a seasoned Gartner analyst, discusses the importance of setting the right pace for AI implementation, advising organizations to align strategies with industry disruptions. Mary Mesaglio, a distinguished analyst, emphasizes the challenges of maximizing productivity through GenAI while warning about unpredictable costs. Daryl Plummer highlights the need for guardian agents to provide oversight in an evolving AI landscape. Together, they explore how understanding AI races and embracing change can drive successful adoption and long-term benefits.
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4 snips
Feb 6, 2024 • 25min

How Far Will Your Enterprise Go With AI? Use the AI Opportunity Radar to Find Out.

Hung LeHong, Gartner VP Analyst, discusses defining AI ambition as the first step for AI opportunities. Differentiates everyday AI from game-changing AI. Introduces the Gartner AI Opportunity Radar for organizations to decide on AI pathways. Talks about the importance of aligning AI decisions with business opportunities and managing risks in AI implementation. Explores AI application in various business operations and the impacts of Gen AI on employees. Emphasizes the need to balance AI ambition with cost considerations in enterprise implementation.

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