The two other new MCP servers will help companies manage their Google Cloud environments. The first allows AI agents to perform tasks such as provisioning Google Compute Engine instances. The second ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

Do you want to analyze data that resides in Google BigQuery as part of an R workflow? Thanks to the bigrquery R package, it’s a pretty seamless experience — once you know a couple of small tweaks ...

This SEO approach to BigQuery answers the question: What do I do once I connect BigQuery to Google Search Console? Let's find out! BigQuery has a number of advantages not found with other tools when ...

Success in Google Ads hinges on how well you use your data. With AI-driven features like Smart Bidding, traditional PPC ...

AI has the power to transform how organizations derive insights, make decisions, and unlock value, but all that depends on the quality of the data. Most AI initiatives fail not because of algorithmic ...

To Gerrit Kazmaier, the distinction between managed databases and data lakes has never made much sense, and it makes even less sense today as data is piling up like soaring mountains being pushed up ...

SNOW's AI momentum is notable, but GOOGL's cloud growth, backlog strength, and stock performance give it the edge now.

Google first revealed BigQuery Omni, its Anthos-based multi-cloud data analytics solution, last summer. Today, at its annual Cloud Next event, the company announced that BigQuery Omni is generally ...

Developing new drugs is risky and expensive. Creating a new drug and bringing it to clinical trials can cost billions of pounds, with no guarantees of success. And sometimes a drug can fail to meet ...