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Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

  • 23articles · 30d
  • 2+ day agolatest article
  • Aug 15, 2026earliest in window
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News

Towards Data Science
towardsdatascience.com > 5-ai-skills-that-will-keep-data-scientists-relevant-in-2027

5 AI Skills That Will Keep Data Scientists Relevant in 2027

1+ week, 5+ day ago   (1817+ words) What each one solves, and runnable code you can paste into a notebook. Anyone can now build an LLM demo with a single API call. Getting that same feature to survive real users, real data, and a real bill is…...

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towardsdatascience.com > your-llm-can-return-perfect-json-and-still-be-wrong

Your LLM Can Return Perfect JSON and Still Be Wrong

1+ week, 6+ day ago   (1426+ words) What I learned after thinking more carefully about Structured Outputs on messy, incomplete data Three weeks after I turned on Structured Outputs for a pipeline that parsed payment confirmation messages into transaction records, I noticed that our reconciliation job started…...

Towards Data Science
towardsdatascience.com > ai-agents-dont-need-more-context-they-need-typed-context

AI Agents Don???t Need More Context??? They Need Typed Context

2+ week, 6+ day ago   (1708+ words) A lightweight runtime layer that separates instructions, evidence, memory, and tool output before they reach the model This article is for anyone building agent systems who assemble prompts from multiple sources (retrieved documents, conversation history, tool outputs, or system instructions)…...

Towards Data Science
towardsdatascience.com > bug-detection-blind-spots-in-ai-coding-harnesses-gstack-and-beyond

Bug Detection Blind Spots in AI Coding Harnesses (GStack and Beyond)

3+ week, 22+ hour ago   (1761+ words) 28 debugging experiments reveal that AI struggles less with complexity than with missing information. If you’ve watched a coding agent in action, you’ve probably noticed the default workflow: let the AI handle the routine bugs, but step in when the problem…...

Towards Data Science
towardsdatascience.com > scaling-an-integration-pipeline-without-breaking-correctness

How to Scale an Integration Pipeline Without Breaking Correctness

3+ week, 4+ day ago   (1069+ words) A production account of the throughput work behind a 16x jump — and the two guarantees it was never allowed to trade away Two guarantees sat underneath every throughput change, and every one of the optimizations later in this article is built…...