The days of the glorified artificial intelligence (AI) chatbot are over, with more enterprises starting to embrace the era of autonomous agents rummaging through corporate data. At the recent Google ...

The Berlin startup, founded by two ex-Snowflake engineers, wants to be the platform where AI-generated data pipelines go to actually work. The hard part of building with AI is no longer getting the ...

Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...

As the number of stores grows, this process becomes a "nightmare." The data gets heavy, spreadsheets freeze, and resources are spent on "aggregation tasks" rather than the essential work of "review ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Back in 2022, marketers were told to learn machine learning operations. In my post on machine learning, I predicted then that open-source ML frameworks would democratize model building for marketing ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

This client provides an API for retrieving and inserting BigQuery data by wrapping Google's low-level API client library. It also provides facilities that make it convenient to access data that is ...

Google is introducing powerful tech for agents and data. They are also introducing a series of data-centric agents. A new command-line AI coding tool is now available. I am no stranger to hyperbolic ...

The Storage API streams data in parallel directly from BigQuery via gRPC without using Google Cloud Storage as an intermediary. It has a number of advantages over using the previous export-based read ...