Cloud-native data analytics startup Sigma Computing Inc. has closed on an $80 million Series E funding round that doubles its valuation to $3 billion, almost a year to the day after its previous ...

Summary: Google rebranded and consolidated its AI platform at Cloud Next 2026, renaming Vertex AI to the Gemini Enterprise Agent Platform and absorbing Agentspace into a unified Gemini Enterprise ...

The BigQuery Agent Analytics SDK connects your AI agent telemetry in BigQuery to a rich set of evaluation, observability, and analytics capabilities. It is designed for ML engineers, data scientists, ...

Data isn't just oil anymore; it’s the oxygen your enterprise breathes. In 2026, the volume of data flowing through the average mid-to-large enterprise isn't just massive—it’s complex, messy, and ...

Google Search Console’s blind spot is costing you visibility into one of the biggest SERP changes in years. AI Overviews now appear for millions of queries, yet Search Console lumps these impressions ...

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 ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

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 new toolset, though, can only be implemented in combination with Google’s Agent Development Kit and MCP Toolbox for Databases. Google has come out with a new toolset that will allow enterprises to ...

With a combined market value of around $150 billion, Snowflake and Databricks have divergent visions on how to get customers' analytics and machine learning tools to their data, which is often spread ...