Intelligent Insights

Praveen Ravi

Welcome to Intelligent Insights, the podcast where we explore the latest advancements in artificial intelligence, machine learning, and data science. Join us as we dive deep into the world of Retrieval-Augmented Generation (RAG), language models, and cutting-edge AI applications transforming industries from education to technology. Whether you're an AI enthusiast, tech professional, or just curious about the future of intelligent systems, Intelligent Insights brings you clear explanations, expert interviews, and practical insights to help you stay informed and inspired.

  1. Agent Skills: The New Way AI Becomes Specialized

    2월 6일

    Agent Skills: The New Way AI Becomes Specialized

    Anthropic’s Agent Skills introduce a smarter way for AI agents to load knowledge only when it’s needed. Using progressive disclosure, agents stay token-efficient while gaining powerful, domain-specific capabilities on demand. In this episode, we explain how Agent Skills work, why they’re simpler than MCP, and how they turn general AI models into focused specialists—while raising important security questions around executable skills. If you’re building or thinking about AI agents, this is a format you’ll want to understand. Powered by ideas from Anthropic.

    16분
  2. Clawdbot (aka Moltbot): Agentic AI, Local Power, and the Risks of Autonomy

    1월 27일

    Clawdbot (aka Moltbot): Agentic AI, Local Power, and the Risks of Autonomy

    Clawdbot (now Moltbot) is a powerful local-first, open-source agentic AI assistant that runs on your own hardware and can act across emails, messages, and system commands. In this episode of Intelligent Insights, we unpack how this autonomous AI works, why it went viral, and what went wrong—from a trademark dispute with Anthropic to security concerns around deep system access. A sharp look at the promise—and the risks—of truly autonomous personal AI.

    15분
  3. From Pilot to Production: Why Enterprise AI Fails and How to Scale It Right

    1월 21일

    From Pilot to Production: Why Enterprise AI Fails and How to Scale It Right

    Most AI initiatives don’t fail because the models are weak - they fail because organizations never design for reality. In this episode of Intelligent Insights, we unpack why 80 - 95% of enterprise AI pilots never make it to production, and what separates scalable AI systems from endless proof-of-concepts. Drawing from industry research and real-world engineering patterns, we explore the hidden blockers behind “pilot purgatory” — including verification tax, MLOps immaturity, technical debt, and misaligned incentives. We break down a practical roadmap for scaling AI responsibly, starting with high-control, low-agency systems and gradually increasing autonomy as trust is earned. You’ll learn why Human-in-the-Loop (HITL) frameworks, disciplined data foundations, and cost-aware hosting strategies matter more than choosing the latest model. This episode is not about hype. It’s about shipping AI that survives contact with production. If you’re a product leader, engineer, founder, or executive trying to move AI from demos to durable business impact - this one’s for you.

    18분
  4. SLMs vs LLMs: Building Faster, Cheaper, and More Private AI Systems

    1월 15일

    SLMs vs LLMs: Building Faster, Cheaper, and More Private AI Systems

    Do you really need a trillion-parameter model to solve enterprise problems? In this episode, we unpack why Small Language Models (SLMs) are gaining momentum across enterprise AI. We explore how techniques like knowledge distillation and quantization allow smaller models to deliver competitive performance - while significantly reducing cost, latency, and energy consumption. We also discuss why SLMs are a natural fit for agentic AI, enabling multi-step reasoning, on-device and on-prem deployments, and stronger data privacy in regulated environments. The takeaway: the future of AI isn’t just about bigger models, but smarter architectures built for real-world production.

    17분
  5. AI in 2026: Six Trends That Will Decide What Actually Works

    1월 7일

    AI in 2026: Six Trends That Will Decide What Actually Works

    AI is entering a new phase.In 2026, the conversation is no longer about basic automation or copilots - it’s about agentic AI: autonomous systems that reason, decide, and execute work across functions. In this episode, I break down six defining AI trends for 2026, drawing from multiple industry reports and real-world adoption patterns. We explore why AI agents promise massive productivity gains - and why trust, data quality, and governance remain the biggest blockers to scale. You’ll learn why context engineering matters more than prompt engineering, how successful teams combine AI autonomy with human oversight, and what practical strategies actually reduce legal, ethical, and operational risk. If you’re building, leading, or investing in AI systems - this episode is about what works in practice, not what sounds good in demos. This episode is for product leaders, engineers, and executives navigating real-world AI adoption in 2026.

    16분
  6. Hindsight: Teaching AI to Remember, Reflect, and Stay Consistent

    2025. 12. 30.

    Hindsight: Teaching AI to Remember, Reflect, and Stay Consistent

    How can AI remember without losing clarity or consistency?In this episode, we explore Hindsight, a structured memory architecture that enables AI agents to retain facts, track experiences, reflect over time, and maintain a stable persona. We break down how it outperforms traditional retrieval methods and why structured, evidence-aware memory is key to building truly long-term AI agents.

    12분
  7. AI Agents in Production: What Really Works

    2025. 12. 19.

    AI Agents in Production: What Really Works

    How are AI agents actually being used in the real world? In this episode of Intelligent Insights, we break down insights from Measuring Agents in Production (MAP) — a large study of how teams are deploying AI agents across industries like finance, healthcare, and science. Instead of complex autonomy, most teams succeed with simple, controlled systems focused on productivity and reliability. We explore why human oversight still matters, why many teams build their own agents in-house, and what practical patterns are emerging in production today. If you’re building or thinking about AI agents, this episode focuses on what works — not hype.

    16분
  8. The AI Bubble: Hype, Hope, or Hard Reality?

    2025. 11. 07.

    The AI Bubble: Hype, Hope, or Hard Reality?

    Is artificial intelligence the next dot-com crash waiting to happen - or are we entering a true new era of innovation? In this episode of Intelligent Insights, Praveen dives into the economics behind the AI boom: billion-dollar burn rates, sky-high valuations, and the circular flow of money powering tech giants and AI startups alike. We compare today’s AI gold rush to the dot-com era, uncover what’s driving the frenzy, and ask the big question - are we in a bubble, or just at the beginning of something bigger?

    16분
모두 보기(24개)

소개

Welcome to Intelligent Insights, the podcast where we explore the latest advancements in artificial intelligence, machine learning, and data science. Join us as we dive deep into the world of Retrieval-Augmented Generation (RAG), language models, and cutting-edge AI applications transforming industries from education to technology. Whether you're an AI enthusiast, tech professional, or just curious about the future of intelligent systems, Intelligent Insights brings you clear explanations, expert interviews, and practical insights to help you stay informed and inspired.

정보

  • 제작진
    Praveen Ravi
  • 방송 연도
    2024년 - 2026년
  • 에피소드
    24
  • 등급
    전체 연령 사용가
  • 저작권
    © Praveen Ravi
  • 웹사이트 보기
    Intelligent Insights

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