跳到主要内容

最新播客 知识。

Podwise 处理的新节目,随时可搜索、浏览,并在完整应用中继续。

刚刚摘要

在按下播放前,先读读每集讲了什么。

The Analytics Power Hour

#278: Is AI Good at Data Analysis? That's the Wrong Question? with Juliana Jackson

AI 摘要 Large language models (LLMs) are often conflated with broader artificial intelligence, leading to the misguided application of chat interfaces to complex data analysis tasks. Guest Juliana Jackson argues that while LLMs offer utility for exploratory research and unstructured…

  • LLM (Large Language Model)
  • Simo Ahava
  • Standard Deviations

01:00:47English摘要 · 转录

The Analytics Power Hour

#257: Analyst Use Cases for Generative AI

AI 摘要 Generative AI serves as a powerful assistant in the analytics workflow rather than a replacement for human expertise. While tools like ChatGPT can accelerate data manipulation, code writing, and hypothesis generation, they frequently produce hallucinations that require rigorous…

  • Generative AI
  • Large Language Models (LLM)
  • Marketing Mix Modeling (MMM)

01:05:35English摘要 · 转录

The Analytics Power Hour

#286: Metrics Layers. Data Dictionaries. Maybe It's All Semantic (Layers)? With Cindi Howson

AI 摘要 Semantic layers bridge the gap between complex physical data structures and business-friendly terminology, providing essential context for accurate decision-making and effective agentic AI performance. While often perceived as a modern innovation, these layers have deep…

  • Semantic Layer
  • Agentic AI
  • Data Mesh

55:44English摘要 · 转录

The Analytics Power Hour

#288: Our LLM Suggested We Chat about MCP. Kinda' Meta, No?

AI 摘要 Model Context Protocol (MCP) serves as a bridge between large language models and external data systems, enabling AI agents to interact directly with tools rather than relying on manual data entry. By providing a standardized interface, MCP allows models to perform specific…

  • MCP (Model Context Protocol)
  • LLM (Large Language Model)
  • LangChain

01:00:39English摘要 · 转录

The Analytics Power Hour

#294: Adapting an Analytics Team to an AI World

AI 摘要 AI integration within analytics teams requires moving beyond simple experimentation to building infrastructure that ensures data trust and accountability. Organizations must mandate AI training and provide agency for employees to develop prototypes, as demonstrated by SEER…

  • RTO (Return to Office)
  • LLM (Large Language Model)
  • KPI (Key Performance Indicator)

01:08:00English摘要 · 转录

The Analytics Power Hour

#299: AI Can (Help) Build the Dashboard. It Can't Build the Buy-In.

AI 摘要 Organizational change within the analytics discipline requires balancing technical transitions with the human experience, particularly as AI forces companies into a state of rapid, disruptive evolution. Guest Yehonatan Schwarzmer emphasizes that successful change management…

  • Godfather
  • Consigliere
  • Change management

01:00:46English摘要 · 转录

更多新节目

  1. The Bottleneck Isn’t the Chip with Bubble boi | EP 166

    Frictionless Podcast by Logan Jastremski

    摘要
  2. 摘要1:03:23
  3. #734.Ben Thompson:前沿悬垂

    跨国串门儿计划

    摘要21 min
  4. The Right Way To Write With AI

    The Startup Ideas Podcast

    摘要1 h 10 min
  5. 摘要1 h 8 min
  6. 摘要41 min
  7. Emergency Pod: Paramount Settles—and Bonta Caves

    The Town with Matthew Belloni

    摘要31 min
  8. Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick

    Machine Learning Street Talk (MLST)

    摘要02:14:20
  9. 摘要2 h 8 min
  10. 摘要01:05:46
  11. 摘要1 h 21 min
  12. Frontier Overhangs

    Stratechery

    摘要00:18:18
  13. 摘要2 h 51 min
  14. 摘要1 h 20 min
  15. 摘要31 min
  16. 摘要2 h 21 min
  17. 摘要00:10:58
  18. 摘要02:59
  19. Should Searchers Look More Seriously at Franchises?

    Think Big, Buy Small

    摘要53 min
  20. 摘要
  21. 摘要
  22. 摘要24 min
  23. Naveen Rao: 4D Computing, AI's Energy Wall & Beating Biology

    All-In with Chamath, Jason, Sacks & Friedberg

    摘要22:35
  24. Diesel’s All-Time High

    Motley Fool Hidden Gems Investing

    摘要25 min
  25. The World is Running Out of Fuel

    The Journal.

    摘要21 min
Podwise

每一集新节目 都有摘要。

在 Podwise 关注你的节目,在决定收听前先读每集新节目。