Parker Conrad demos Rippling Data Cloud, a new product that consolidates HR, business intelligence, and cross-system analytics into one platform. A key use case shown is tracking AI token spend per employee and correlating it with performance metrics — Rippling found some employees spending $30K/year on Claude with little ROI, and engineers with high AI spend but high code review rejection rates. The platform pulls data from sources like Anthropic usage logs, GitHub PRs, and Salesforce to surface workforce insights without a traditional data stack. Rippling also launched Business Banking with same-day payroll. Conrad says the company is ~2 years from cash-flow positive and has no IPO plans.
Nguồn: https://techcrunch.com/2026/06/25/parker-conrad-knows-which-employees-are-worth-their-ai-spend-and-says-rippling-can-help-you-too. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.
A data scientist shares a hands-on experience spending an hour manually solving a Pandas data preprocessing task — extracting a probability value by matching a category ID across list columns — before asking Gemini to do the same. Gemini solved it in seconds, but its first solution used the non-vectorized apply function. Only because the author understood Pandas well enough did they recognize the suboptimal approach and prompt Gemini for a vectorized alternative using explode and regex. The takeaway: LLMs dramatically boost productivity, but domain knowledge is still essential to evaluate and improve AI-generated code.