• Kane Research Podcast

  • 著者: Adam Kane
  • ポッドキャスト

Kane Research Podcast

著者: Adam Kane
  • サマリー

  • Produced and curated by and for Adam Kane, this personal, audience-of-one, AI-generated podcast explores the cutting-edge world of autonomous AI assistants and process automation. It’s basically my own personal extreme filter-bubble topic-based podcast. With a focus on agentic AI—self-directed systems capable of completing tasks independently—each episode delves into how these technologies are revolutionizing industries and workflows. From intelligent agents managing complex business operations to AI-driven automation streamlining decision-making, the podcast covers it all, within these topic areas.
    Copyright 2024 All rights reserved.
    続きを読む 一部表示

あらすじ・解説

Produced and curated by and for Adam Kane, this personal, audience-of-one, AI-generated podcast explores the cutting-edge world of autonomous AI assistants and process automation. It’s basically my own personal extreme filter-bubble topic-based podcast. With a focus on agentic AI—self-directed systems capable of completing tasks independently—each episode delves into how these technologies are revolutionizing industries and workflows. From intelligent agents managing complex business operations to AI-driven automation streamlining decision-making, the podcast covers it all, within these topic areas.
Copyright 2024 All rights reserved.
エピソード
  • Supabase / Hasura / Vercel
    2024/10/28

    In this episode, we explore the rapidly evolving world of JavaScript development, focusing on the key players like Next.js, GraphQL, Supabase, Hasura, and Vercel. Our hosts dive into the complexities of building a full-stack application, emphasizing the importance of choosing the right tools and understanding their trade-offs.

    We discuss the real-world challenges developers face, from server-side rendering and client-side rendering to incremental static regeneration. The conversation covers the intricacies of API routes and the growing influence of GraphQL, highlighting the importance of schema design and data management.

    The episode also delves into the backend contenders, analyzing the strengths and potential pitfalls of Supabase, Hasura, and Vercel's new serverless offerings. Our hosts share insights into the future of backend development with Next.js, including the highly anticipated server actions feature.

    Beyond specific technologies, we examine broader industry trends like serverless architectures, edge computing, and the crucial role of developer experience in shaping modern web development.

    Whether you're building a social media platform or a content-heavy site, this episode provides valuable guidance for selecting the best stack, avoiding common pitfalls, and leveraging the latest advancements in web technology. Join us as we navigate the complex yet exciting JavaScript landscape.

    続きを読む 一部表示
    23 分
  • Vercel_vs_Supabase_vs_Hasura.mp3
    2024/10/28

    Vercel_vs_Supabase_vs_Hasura.mp3

    続きを読む 一部表示
    23 分
  • Hasura Supergraphs
    2024/10/22

    In this episode of The Deep Dive, we explore the critical challenges large organizations face in managing the overwhelming volume of data at their disposal. We delve into how companies are not just struggling with data accumulation, but with leveraging it effectively to drive strategic decisions. Through insights from three engaging YouTube videos, we uncover a range of solutions and perspectives on this complex issue.

    First, we look at a case study involving a Fortune 50 bank where a data expert named Ken implements a straightforward yet powerful rule for data management. His approach, supported by a tool called Hasura, brings order to chaos by utilizing metadata to create a structured, navigable data universe.

    Next, we shift to Renaissance Learning, an education technology company that adopts a similar metadata-driven strategy to make data more accessible to developers, underscoring the cross-industry relevance of this approach.

    Finally, we examine the intersection of AI and data management. Discover how AI models, empowered by query languages like SQL and tools like Patra, can intuitively navigate complex data landscapes, leading to revolutionary advancements in AI's ability to understand and process information.

    Join us as we explore these innovative strategies that transform data overload into actionable insights, opening new possibilities for organizations to harness the full potential of their information assets.

    続きを読む 一部表示
    11 分

Kane Research Podcastに寄せられたリスナーの声

カスタマーレビュー:以下のタブを選択することで、他のサイトのレビューをご覧になれます。