Why AI Agents Fail Before They Scale - with Samar Abbas of Temporal Technologies
AI in Infrastructure PodcastShow Notes
AI pilots that perform flawlessly in testing often stall the moment they reach production, and enterprise leaders are left wondering why.
In this episode, Samar Abbas, Co-founder and CEO at Temporal, examines why long-running AI agents turn state and context management into the central engineering challenge, and how durable execution lets developers write code that runs to completion despite failures. He outlines what leaders should build now: a foundation that combines well-defined business processes with steps handed to LLMs, keeps organizations free to switch models, clouds, and frameworks, and supports reliable, governed environments for running agents at enterprise scale. If you want to be considered, download our media kit at emerj.com/AD4
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