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Podwise 處理的新節目，隨時可搜尋、瀏覽，並在完整應用中繼續。

剛剛摘要

在按下播放前，先讀讀每集講了什麼。

The Analytics Power Hour8月19日

#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 · 逐字稿

The Analytics Power Hour10月29日

#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 · 逐字稿

The Analytics Power Hour12月9日

#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 · 逐字稿

The Analytics Power Hour1月6日

#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 · 逐字稿

The Analytics Power Hour3月31日

#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 · 逐字稿

The Analytics Power Hour6月9日

#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…