Workflow Automation

As AI systems become more capable of automating every stage of the data science workflow—from formulating hypotheses to summarizing results—it might seem we’re inching toward a world where “data scientist” becomes just another automated job title. But Timpone and Yang’s new framework, presented in their paper AI, Humans, and Data Science (2025), offers a powerful antidote to this narrative: a structured way to evaluate where humans are indispensable—not by resisting automation, but by rethinking our roles within it. ...

Introduction Recently, 01.AI launched its enterprise AI platform, aiming to provide businesses with access to open-source LLMs, retrieval-augmented generation (RAG), model fine-tuning, and AI-powered assistants. This move is part of 01.AI’s broader effort to demonstrate relevance in the ongoing AI arms race, especially as the company has previously secured significant funding under the reputation of Li Kaifu. Given the rapid evolution of AI, 01.AI faces mounting pressure to show tangible business value to its investors—yet, its latest offering falls into the common trap of many AI enterprise solutions: prioritizing model deployment over true business integration. ...