newsletterSeptember 1, 2026·Towards Data Science

5 AI Skills That Will Keep Data Scientists Relevant in 2027

What each one solves, and runnable code you can paste into a notebook. The post 5 AI Skills That Will Keep Data Scientists Relevant in 2027 appeared first on Towards Data Science.

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•What each one solves, and runnable code you can paste into a notebook. The post 5 AI Skills That Will Keep Data Scientists Relevant in 2027 appeared first on Towards Data Science.
•This story was reported by Towards Data Science, covering developments in the newsletter space.
•AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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Your LLM Can Return Perfect JSON and Still Be Wrong

What I learned after thinking more carefully about Structured Outputs on messy, incomplete data The post Your LLM Can Return Perfect JSON and Still Be Wrong appeared first on Towards Data Science.

Towards Data Science

FAQ as RAG: When You Get to Design the Corpus

Enterprise Document Intelligence [Vol.1 #B2] - The FAQ inverts every brick of the standard RAG pipeline. Parsing is trivial, retrieval doubles as a cache, and few-shot prompting becomes a retrieval problem too The post FAQ as RAG: When You Get to Design the Corpus appeared first on Towards Data Scie

Import AI

Import AI 471: Why Hugging Face worries me; space mining; FIve Eyes on AI

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now Import AI reader giveaway! Upcoming event: Fiction and the Future with Robin SloanI’ll be chatting with my chum Robin

Towards Data Science

Why RAG Complexity Should Be Earned

A framework for building RAG pipelines that introduces complexity in response to observed failure modes, from lexical and hybrid search to reranking and agentic information seeking The post Why RAG Complexity Should Be Earned appeared first on Towards Data Science.

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5 AI Skills That Will Keep Data Scientists Relevant in 2027

Key Takeaways

Related Articles

Your LLM Can Return Perfect JSON and Still Be Wrong

FAQ as RAG: When You Get to Design the Corpus

Import AI 471: Why Hugging Face worries me; space mining; FIve Eyes on AI

Why RAG Complexity Should Be Earned

Discussion

5 AI Skills That Will Keep Data Scientists Relevant in 2027

Key Takeaways

Related Articles

Your LLM Can Return Perfect JSON and Still Be Wrong

FAQ as RAG: When You Get to Design the Corpus

Import AI 471: Why Hugging Face worries me; space mining; FIve Eyes on AI

Why RAG Complexity Should Be Earned

Discussion

Related Articles

Towards Data Science
Your LLM Can Return Perfect JSON and Still Be Wrong
What I learned after thinking more carefully about Structured Outputs on messy, incomplete data The post Your LLM Can Return Perfect JSON and Still Be Wrong appeared first on Towards Data Science.

Towards Data Science
FAQ as RAG: When You Get to Design the Corpus
Enterprise Document Intelligence [Vol.1 #B2] - The FAQ inverts every brick of the standard RAG pipeline. Parsing is trivial, retrieval doubles as a cache, and few-shot prompting becomes a retrieval problem too The post FAQ as RAG: When You Get to Design the Corpus appeared first on Towards Data Scie

Import AI
Import AI 471: Why Hugging Face worries me; space mining; FIve Eyes on AI
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now Import AI reader giveaway! Upcoming event: Fiction and the Future with Robin SloanI’ll be chatting with my chum Robin

Towards Data Science
Why RAG Complexity Should Be Earned
A framework for building RAG pipelines that introduces complexity in response to observed failure modes, from lexical and hybrid search to reranking and agentic information seeking The post Why RAG Complexity Should Be Earned appeared first on Towards Data Science.