Many BigQuery customers rely on policy tags for protecting their sensitive information in BigQuery. Policy tags were the go-to solution for applying column-level access controls, allowing only users with the right permission to view sensitive columns like personally identifiable information (PII). It was a robust and effective system — for its time. However, data ecosystems have grown in complexity, and…
#bigquery
9 posts
17 Jul
15 Jul
Deploying the Gemini Enterprise app across an organization marks a transformative leap forward in workforce productivity, providing employees with an amazing, high-performance suite of agentic AI tools, search-grounded assistants, and specialized solutions like NotebookLM. As adoption grows to a large scale, it can introduce a critical administrative scale challenge: how to audit, govern, and extract insights from a massive volume…
13 Jul
The automotive industry is moving from building hardware-centric platforms toward building their own sophisticated Software-Defined Vehicle (SDV) architectures. For OEMs, a vehicle is no longer just a way to go from point A to point B, but an intelligent, connected node within an AI-native ecosystem! With its partners, Google’s Android and Google Cloud are at the forefront of this transition.…
30 Jun
Businesses run on fast decisions, but the teams who hold the answers are often buried under a backlog of routine requests, leaving users waiting in line for insights they need now. Today, we are bringing Conversational Analytics in BigQuery to general availability, so both business and technical teams can query data, run multi-step analyses, and generate visual reports using natural…
29 Jun
Based in the UK, Curve are building a financial super-app, a smart wallet that consolidates all your debit and credit cards into a single app and card, simplifying how millions of users spend, send and save money. However, operating at this scale means confronting a high-volume, ever-evolving landscape of financial crime. While traditional fraud detection models are excellent at flagging…
We recently announced the preview of the BigQuery AI.AGG() function. With AI.AGG(), you can use natural-language instructions within a single line of SQL to summarize or synthesize information over millions of rows of unstructured or even multimodal data. Summarize millions of rows with one line of SQL: AI.AGG While BigQuery already offers powerful AI functions that help you analyze individual…
15 Jun
As enterprises adopt agentic AI, they need to shift from reactive systems of intelligence to proactive systems of action to equip the agents they’re building with the context and performance they need, plus regulator-grade accountability, where every decision is explainable and auditable. At Google Cloud Next ‘26, we discuss how our Agentic Data Cloud enables a system of action, and…
12 Jun
As foundation models continue to improve, the lack of relevant context often limits what they can do, especially as they are used to build agentic systems. While these models can help you write code, summarize documents, or analyze a dataset, they still need the right information to produce accurate and actionable results. That’s why today, we’re introducing the Open Knowledge…
29 Apr 2021
It seems like a simple enough concept: You take data from how your users interact with your product, and you use it to make business and…