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#analysepodcast — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #analysepodcast, aggregated by home.social.

  1. “50% of AI agents fail in production because we don’t know what’s happening.”

    Patrick Kelly shares why silent failures are becoming a real enterprise AI risk — agents ship, but teams can’t see if they’re producing useful output.

    Read/listen at youtube.com/shorts/FNJUNUzbVBY

  2. “50% of AI agents fail in production because we don’t know what’s happening.”

    Patrick Kelly shares why silent failures are becoming a real enterprise AI risk — agents ship, but teams can’t see if they’re producing useful output.

    Read/listen at youtube.com/shorts/FNJUNUzbVBY

    #AnalysePodcast #AIAgents #EnterpriseAI #AIEvaluation

  3. Why do security teams miss so much?

    John Morgan points to the investigation layer: humans spend time correlating signals, and that’s where detections can slip through. AI can help across ingestion, correlation, investigation—and even some response.

    Read/listen at youtube.com/shorts/opn9ImKi_Nw

    #AnalysePodcast #CyberSecurity #ArtificialIntelligence #ThreatIntelligence

  4. Why do security teams miss so much?

    John Morgan points to the investigation layer: humans spend time correlating signals, and that’s where detections can slip through. AI can help across ingestion, correlation, investigation—and even some response.

    Read/listen at youtube.com/shorts/opn9ImKi_Nw

    #AnalysePodcast #CyberSecurity #ArtificialIntelligence #ThreatIntelligence

  5. Why do security teams miss so much?

    John Morgan points to the investigation layer: humans spend time correlating signals, and that’s where detections can slip through. AI can help across ingestion, correlation, investigation—and even some response.

    Read/listen at youtube.com/shorts/opn9ImKi_Nw

    #AnalysePodcast #CyberSecurity #ArtificialIntelligence #ThreatIntelligence

  6. Why do security teams miss so much?

    John Morgan points to the investigation layer: humans spend time correlating signals, and that’s where detections can slip through. AI can help across ingestion, correlation, investigation—and even some response.

    Read/listen at youtube.com/shorts/opn9ImKi_Nw

  7. Why do security teams miss so much?

    John Morgan points to the investigation layer: humans spend time correlating signals, and that’s where detections can slip through. AI can help across ingestion, correlation, investigation—and even some response.

    Read/listen at youtube.com/shorts/opn9ImKi_Nw

    #AnalysePodcast #CyberSecurity #ArtificialIntelligence #ThreatIntelligence

  8. Trust and safety used to be seen as the internet’s cleanup crew.

    After my conversation with Yoel Roth, SVP & Head of Trust & Safety at Match Group, I think that framing is outdated.

    Watch the full YouTube Video: youtu.be/cj577gj8mzg

    The better framing: trust and safety is now platform governance.

    Full conversation with Yoel Roth on Analyse Podcast.

    #TrustAndSafety #AIGovernance #PlatformGovernance #DigitalTrust #AnalysePodcast

  9. “What are we going to measure? What are the elements of success here?” — Patrick Kelly

    That line stuck with us. In AI apps, observability isn’t a nice-to-have; it’s where many teams discover what actually works once real users show up.

    How are you measuring success for AI products today?

    Read/listen at youtube.com/shorts/Sx9BBnH3bek

    #AnalysePodcast #AIObservability #AgenticAI #MLOps

  10. “What are we going to measure? What are the elements of success here?” — Patrick Kelly

    That line stuck with us. In AI apps, observability isn’t a nice-to-have; it’s where many teams discover what actually works once real users show up.

    How are you measuring success for AI products today?

    Read/listen at youtube.com/shorts/Sx9BBnH3bek

  11. “Evals are the most important thing for systems to work.” — Patrick Kelly

    We felt this one. In GenAI, non-determinism changes everything; getting to a “good score” isn’t as straightforward as classic ML. How are you thinking about evals in 2026?

    Read/listen at youtube.com/shorts/JOT8pYQg6vQ

    #AnalysePodcast #GenAI #MLEvals #AIEvals

  12. New on Analyse: we sat down with Peter Noszek of SuperAI + TOKEN2049 on why Singapore could be the neutral ground for East-West AI convergence, from idle GPU capacity in Johor to the missing routing layer between US demand and Asian supply. Thoughtful, timely, and very worth your time.

    Read/listen at analysepodcast.com/from-token2

    #AnalysePodcast #SuperAI #Token2049 #AI

  13. Fresh from our studio: Peter Noszek of SuperAI & TOKEN2049 joins us to unpack why Silicon Valley’s AI demand isn’t reaching Asia’s underused GPU capacity—and why Singapore could become the bridge. A thoughtful conversation on global tech convergence, AI agents, and “Pax Silica.”

    Watch on YouTube: youtu.be/qQB8lhdA-Bo

    #AnalysePodcast #SuperAI #Token2049 #ArtificialIntelligence

  14. “What changes when AI infra shifts from cash funding to borrowing?”

    Bernard: today’s AI buildout may be ~2%, maybe 5–6% with “hidden balance sheet” data center debt. Michael Smith Jr.: the market gets uneasy when Amazon, Google, and Microsoft start borrowing for it.

    Do you see this as healthy scaling or a warning sign? Read/listen at youtube.com/shorts/0A4xNviEGr0

    #AnalysePodcast #AIInfrastructure #TechBubble

  15. New episode: we sat down with Peter Noszek of SuperAI & TOKEN2049 on why Silicon Valley’s AI demand and Asia’s idle GPU capacity still aren’t meeting—and why Singapore could be the bridge. If you care about AI, infra, and East-West convergence, this one’s for you. Listen on Spotify: open.spotify.com/episode/1ohwn #AnalysePodcast #SuperAI #Token2049 #AI

  16. “Bubbles build the future.” Michael Smith Jr argues they’ve powered railroads, fiber optics, the internet—and now AI infrastructure. Maybe the real question isn’t whether it’s a bubble, but what happens after the correction.

    Do you think AI follows the same pattern?

    Read/listen at youtube.com/shorts/-IAbR52PE7w

    #AnalysePodcast #AI #EconomicCycles

  17. New episode: we sat down with John Morgan of Splunk Security at Cisco to unpack the agentic SOC, AI-powered attackers, shadow AI, and why observability now underpins security. A thoughtful conversation on how CISOs are becoming business enablers in the AI era.

    Watch on YouTube: youtu.be/2C3P8EtuI4g

    #AnalysePodcast #CyberSecurity #AI #Splunk

  18. “Developers use these tools in nights-and-weekends hobby projects, and they want them in the enterprise too… it’s getting smashed together from both sides.” — Jay Parikh

    We’re seeing this shift everywhere: bottom-up demand meeting top-down change. How is this showing up in your org?

    Read/listen at youtube.com/shorts/GSWqm3ksWkI

    #AnalysePodcast #EnterpriseAI #Developers #AICopilot

  19. What happens when devs bring their nights-and-weekends AI tools to work? Jay Parikh argues enterprise AI adoption is getting “smashed together from both sides” — bottom-up from developers, top-down from competitive pressure. That tension may be exactly what unlocks more creativity and productivity.

    Read/listen at youtube.com/shorts/GSWqm3ksWkI

    #AnalysePodcast #EnterpriseAI #Developers #AICopilot

  20. One insight we keep coming back to: if you want to understand Southeast Asian tech, follow the families.

    Raghav Kapoor explains how family offices shape private markets, back companies for the long term, and can create outsized advantages that many outsiders miss.

    Read/listen at youtube.com/shorts/qJELu9XS6RI

    #AnalysePodcast #SoutheastAsia #FamilyOffices #PrivateMarkets

  21. Fresh from the studio: we sat down with @NirEyal to explore how beliefs shape attention, distraction, and performance. From Hooked to Beyond Belief, this conversation challenged how we think about habits, AI, and internal triggers. Listen on Spotify: open.spotify.com/episode/4irQZ #AnalysePodcast #NirEyal #BeyondBelief

  22. A striking takeaway from our conversation with Raghav Kapoor: Southeast Asia has seen ~$74B invested into tech since 2014, but less than $23B out in exits. That gap says a lot about IPO readiness, private market structure, and what founders need next.

    Read/listen at youtube.com/shorts/929Zs7VKuoY

    #AnalysePodcast #SoutheastAsia #VentureCapital #PrivateMarkets