Towards Data Science

BI Is Dead, Long Live BI

The true bottleneck was never the analysis. The post BI Is Dead, Long Live BI appeared first on Towards Data Science .

Towards Data Science
Aug 25

A New Towards Data Science: A Faster Site and a Brand-New Contributor Portal

Towards Data Science has announced a major overhaul of its website and contributor portal. The new site promises faster performance and a brand‑new portal for writers, aiming to improve the experience for both readers and contributors. The update is positioned as a significant upgrade for anyone who reads, writes, or both on the platform.

By TDS Editors
Towards Data Science
4d ago

AI Made Data Scientists Faster. Now It’s Expanding the Job.

AI has accelerated data scientists’ productivity, but its influence extends beyond speed. The technology is reshaping who owns data, how judgment is exercised, and the overall career trajectory of data scientists. These changes signal a broader transformation in the field’s structure and responsibilities.

By Yu Dong
Towards Data Science
3d ago

Insight Is Still the Currency of Data Science

The article titled "Insight Is Still the Currency of Data Science" discusses how coding agents free up time for discovery and argues that review practices should evolve to align with analytical work. It emphasizes the importance of focusing on insight rather than merely producing code. The piece was originally published on Towards Data Science.

By Andrew Hinton
Towards Data Science
Aug 20

Three Kinds of RAG Corpus, and What It Costs to Build for the Wrong One

The article explains that enterprise document intelligence can be categorized into three distinct corpus types, each requiring a specific architecture. It outlines how to determine the shape of a document collection through three key questions. The piece also discusses the costs associated with building a system for the incorrect corpus type.

By angela shi
Simon Willison
Sep 20

Quoting voxium

Simon Willison describes his experience at a large company where all documentation, code, tests, PRDs, tickets, and reports are generated by Claude Code. His team is forced to ship rapidly, working long hours, yet management insists that code push is not a bottleneck, leading to frustration and a lack of meaningful reading or review. The situation highlights a reliance on AI-generated content that may undermine quality and collaboration.