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The Artificial Intelligence Podcast

Dr. Tony Hoang
The Artificial Intelligence Podcast
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5 van 65
  • Interview #65 Tanmai Gopal, CEO at Hasura
    Join Tanmai Gopal, CEO at Hasura, as he discusses the current state of RAG and AI tooling challenges. Gopal explains that RAG has cooled down from its peak popularity, noting that while it works for low-hanging fruit use cases, it fails in mission-critical scenarios where good enough is not the threshold and precision is required. He describes RAG's fundamental limitation as not understanding context, comparing it to using a single hammer for everything, and advocates for agentic approaches that combine RAG with other tools. Gopal predicts that AI reliability will become the dominant topic by year's end, as he observes that newer models have become skilled at convincing themselves and users that they're correct when they're actually hallucinating.
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    27:44
  • Interview #64 - Stefan Klopp, CTO at Matador Network
    Join Stefan Klopp, CTO at Matador Network and creator of Guide Geek, as he explores how artificial intelligence is revolutionizing the travel industry. Stefan discusses the shift from traditional video-focused destination marketing to AI-powered trip planning, where travelers are abandoning sites like TripAdvisor in favor of conversational AI tools. He reveals how Guide Geek evolved from a consumer chatbot on WhatsApp and Instagram into a B2B SaaS platform helping destination marketing organizations worldwide. Stefan addresses the challenges of AI-generated fake reviews, the anxiety-reducing benefits of having AI travel assistants in your pocket, and why destinations are eager to adopt AI despite concerns about hallucinations and incorrect information. He predicts that agentic AI will be the next breakthrough, creating autonomous travel concierges that can plan, book, and manage entire trips seamlessly.
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    20:18
  • Interview #63 - Gavin Myers, Managing Partner at Prudence VC
    Join Gavin Myers, Managing Partner at Prudence VC, as he discusses how artificial intelligence is transforming real estate, construction, and infrastructure investing. Gavin shares insights on what successful founders need to demonstrate and explains how AI adoption differs from previous tech cycles, with unprecedented top-down enterprise demand driving faster growth for startups. He explores practical AI applications in commercial real estate and construction, from automating mortgage processing to using drone imagery for construction site monitoring. Gavin predicts the next frontier will be multi-agent architectures handling tedious tasks like preparing offering memorandums, buyer outreach, and property sourcing—transforming industries facing workforce shortages and increasing investment.
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    25:37
  • Interview #62 - Babak Hodjat, CTO of AI at Cognizant
    Join Babak Hodjat, CTO of AI at Cognizant, as he discusses two major AI developments. Hodjat explains how DeepSeek, an open-source model from China, disrupted the AI landscape with unprecedented efficiency—running 14B parameter models on consumer hardware while achieving performance comparable to much larger models, which temporarily impacted AI-related stocks. We then explore multi-agent systems, which transform large language models into agents by enabling them to use tools and execute actions in the world rather than just generating text. These agent systems can coordinate with each other in natural language, operate autonomously within defined boundaries, and collaborate to solve complex tasks while maintaining human oversight.
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    22:31
  • Interview #61 Ron Green, CTO of KUNGFU.AI
    Join Ron Green, CTO of KUNGFU.AI, as he discusses the evolution of artificial intelligence from its early underestimated beginnings to today's generative AI boom sparked by ChatGPT. Ron shares insights on common misconceptions about AI implementation, emphasizing the importance of clean first-party data and the need for human oversight when deploying AI solutions. He also highlights how proprietary data is the key to valuable AI investments, while cautioning against rushing implementation without proper safeguards.
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    26:58

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Interviews and conversations with thought leaders in Artificial Intelligence, Machine Learning and Data Science
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