Interview #79 Balaji Raghavan, Head of Engineering at Postman

Interview #79 Balaji Raghavan, Head of Engineering at Postman

Join Balaji Raghavan, Head of Engineering at Postman, as he discusses the critical gap between AI adoption and API readiness, revealing that while 80% of developers use AI, only 24% design APIs with AI agents as the intended consumer. Drawing from Postman's 40 million developer user base, Raghavan explains how human-designed APIs create ambiguity problems for AI systems, requiring additional tooling layers that often introduce security vulnerabilities through proxy credentials and unauthorized access risks. He addresses the uncomfortable reality that the industry is still in early stages of making AI reliably call APIs at scale, with hallucinations and context limitations preventing effective orchestration across hundreds of endpoints, while warning that judicious leaders must distinguish between deterministic flows and cases where expensive AI-based approaches are truly necessary to manage infrastructure costs and prevent cascade failures.

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Jaksot(95)

Interview #94 Kamal Hathi, SVP and GM, Splunk at Cisco

Interview #94 Kamal Hathi, SVP and GM, Splunk at Cisco

Kamal Hathi, SVP and GM of Splunk at Cisco, breaks down why intent is never enough to control an AI agent: agents are ruthless goal seekers, and asking one to free up 3 percent of disk space can end w...

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Interview #93 Hao Yang, VP and Head of AI, Splunk at Cisco

Interview #93 Hao Yang, VP and Head of AI, Splunk at Cisco

Hao Yang, VP and Head of AI at Splunk, breaks down why sampling an AI system's output cannot earn trust: a fraction of ten thousand probabilistic calls will be wrong, and a spot check is unlikely to f...

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Interview #92 Mangesh Pimpalkhare, SVP and GM, Splunk Platform at Cisco

Interview #92 Mangesh Pimpalkhare, SVP and GM, Splunk Platform at Cisco

Mangesh Pimpalkhare, SVP and GM of Splunk Platform at Cisco, breaks down why agentic AI generates more telemetry than the systems it monitors, and why nobody can yet say when observing AI costs more t...

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Interview #91 Johan Land, Chief Product Officer of Samsara

Interview #91 Johan Land, Chief Product Officer of Samsara

Johan Land, Chief Product Officer at Samsara, breaks down why every major AI lab crowded into the easy 90% of knowledge work while ignoring the 40% of the economy that is physical and the 80% of worke...

13 Heinä 24min

Interview #90 Ketan Karkhanis, CEO of ThoughtSpot

Interview #90 Ketan Karkhanis, CEO of ThoughtSpot

Ketan Karkhanis, CEO of ThoughtSpot, breaks down why two decades of self-service BI was a hoax that only handed everyone the right to build their own dashboards, leaving companies sitting on 50,000 of...

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Interview #89 TVN Reddy, CEO of Aptean

Interview #89 TVN Reddy, CEO of Aptean

TVN Reddy, CEO of Aptean, breaks down why the entire software industry is selling "bigger is better" AI while the real goal is the opposite: people spending 80% less time in systems and more time doin...

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Interview #88 Bill Franks, President at Analytics Advisory Partners

Interview #88 Bill Franks, President at Analytics Advisory Partners

Bill Franks, President of Analytics Advisory Partners, breaks down why a degree no longer proves much and employers now hire on what you can show, not what you know. He explains the pipeline trap comp...

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Interview #87 Vishnu Hari, CEO of ego AI

Interview #87 Vishnu Hari, CEO of ego AI

Vishnu Hari, CEO of Ego AI, breaks down why the labs with billions in compute missed the product hiding in plain sight: character AI quietly tops every consumer retention leaderboard while the serious...

25 Touko 19min