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Data and AI eXchange (DAX) by Unolabs
Dax By Unolabs
10 episodes
3 days ago
Welcome to Data and AI Exchange (DAX) by UnoLabs – the podcast for bold conversations in AI, data science, and enterprise tech. Hosted by Akshay Raj and Prateek Tandon, we explore the real stories, use cases, and controversies behind AI’s rise — from prompt engineering and agentic AI to ethical dilemmas and automation trends. Expect: – Deep-dive episodes (2x/month) – Expert interviews and hot takes – Enterprise use cases and career insights – Shorts that simplify complex topics
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Technology
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All content for Data and AI eXchange (DAX) by Unolabs is the property of Dax By Unolabs and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Welcome to Data and AI Exchange (DAX) by UnoLabs – the podcast for bold conversations in AI, data science, and enterprise tech. Hosted by Akshay Raj and Prateek Tandon, we explore the real stories, use cases, and controversies behind AI’s rise — from prompt engineering and agentic AI to ethical dilemmas and automation trends. Expect: – Deep-dive episodes (2x/month) – Expert interviews and hot takes – Enterprise use cases and career insights – Shorts that simplify complex topics
Show more...
Technology
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Will Satellites Think for Themselves? Future of AI in Space-Tech #ai #space #technology #podcast
Data and AI eXchange (DAX) by Unolabs
40 minutes 16 seconds
1 month ago
Will Satellites Think for Themselves? Future of AI in Space-Tech #ai #space #technology #podcast

#ArtificialIntelligence #FutureOfAI #DeepTech #SpaceTech #satellites

What if AI didn’t just power chatbots — but ran satellites, triaged disaster data in orbit, and one day hosted whole data-centres in space? Vishesh Vatsal (CTO, SkyServe) breaks it down.In this episode of Insider Opinion, Vishesh Vatsal — CTO at SkyServe, co-founder of Dfy Graviti, and an IIT Kanpur aerospace engineer — walks us through the near-term and moonshot futures of AI in space: onboard compute, satellite constellations, real-time disaster response, and the wild but plausible idea of data-centres in orbit. We also dig into hiring for deep tech, trust and governance, and practical use cases India should prioritize.Key takeaways- Onboard AI is already feasible — edge GPUs and compressed models make meaningful inference in orbit possible today.- Bandwidth + cost = need for local intelligence — send insights (kilobytes), not raw imagery (gigabytes).- Constellations change the game — frequency, spectrum and resolution improve, but orchestration & collision risk require smart autonomy.- High-value use case: disaster response — faster detection and targeted intervention can save lives.- Moonshot: moving some compute to space (solar-powered data centres) is logically possible and likely within our lifetimes.- Hiring for the AI future: mix of fundamentals + curiosity + at least one AI-skeptic/devil’s advocate on the team.- Governance warning: accelerate safeguards and alignment investment alongside capability development.00:00 — Will AI run satellites in 10 years?02:57 — Coders vs dreamers: hiring for deep tech06:12 — AI in space: from rovers to autonomy09:37 — Disaster response from orbit13:01 — Why space still fears autonomy15:56 — Constellations: frequency, spectrum & resolution20:55 — Moonshot: data centres in space 🚀24:59 — Avoiding collisions: AI & Kessler Syndrome30:06 — India’s role in the global AI race33:39 — Beyond space: AI for Bangalore traffic36:27 — Do you trust AI more than humans?38:40 — Future headline 2040: AI cures all diseases#EdgeComputing #DataCentres #DisasterResponse #UrbanTech #Constellations #RemoteSensing

Data and AI eXchange (DAX) by Unolabs
Welcome to Data and AI Exchange (DAX) by UnoLabs – the podcast for bold conversations in AI, data science, and enterprise tech. Hosted by Akshay Raj and Prateek Tandon, we explore the real stories, use cases, and controversies behind AI’s rise — from prompt engineering and agentic AI to ethical dilemmas and automation trends. Expect: – Deep-dive episodes (2x/month) – Expert interviews and hot takes – Enterprise use cases and career insights – Shorts that simplify complex topics