Data

Uber’s CTO let something slip at StrictlyVC last week. The plan is to outfit millions of human drivers’ cars with sensors and turn them into a global, always-on data collection grid for autonomous vehicle (AV) companies. They already have partnerships with 25 AV players and call the resulting library an AV cloud, a labelled sensor dataset for training AV models. The framing was generous: “Our goal is not to make money out of this data. We want to democratise it.” Right. Because if there’s one company famous for unprofitable acts of generosity, it’s Uber. ...

Agentic RAG goes beyond traditional RAG by adding the ability to reason, plan, and act. Instead of merely fetching and producing information, it autonomously determines what to retrieve, how to apply it, and when to adjust the context, enabling adaptive, goal-oriented systems that improve through continuous learning.

We live in a world that’s more connected than we often realize. Roads, flight paths, shipping routes — these invisible networks shape how we travel, trade, and share ideas across the globe. Peter Atwood created a series of satellite maps that strip away everything but those connections. The result is a striking view of how humanity has built, expanded, and reshaped its presence on Earth over the past 150 years. ...

A core idea behind shifting Data Left is simple but often overlooked: data is code. Or more accurately—data is produced by code. It’s not just some downstream artifact that lives in tables and gets piped into dashboards and spreadsheets. Every record, event, or log starts somewhere—created, updated, or deleted by a line of code. And just like DevOps demonstrated, if you want to manage something well, you start at the point of creation. ...

Digital industries are booming. Data storage business alone are projected to grow by nearly 18% anually, reaching $778 billion by 2030.