Cloud Computing

Regulators worldwide require financial institutions to implement Know Your Customer (KYC) processes that help prevent money laundering, terrorist financing, fraud, and identity theft. KYC has evolved from a compliance checkbox to a core security function for financial institutions. Financial institutions must modernize their KYC architectures because of several factors: rising transaction volumes, increasing regulatory complexity,

At Google Cloud, every day is Developer Day, but none so much as day 2 of Google Cloud Next, when we hold the developer keynote.  This year’s topic? An in-depth look at Gemini Enterprise Agent Platform. This year’s theme? Planning a marathon for 10,000 participants through the Las Vegas Strip. OK, let’s run with it. 

Last year at Google Cloud Next ‘25, we asked you to imagine a new future for AI. At Next ‘26, the question before you is how do you move AI into production across your entire enterprise? According to Google Cloud CEO Thomas Kurian, the answer is straightforward: You need a unified stack, with “chips that

We are officially moving past the era of one-size-fits-all AI. Enterprises today require highly specialized, role-specific tools to drive real productivity — but they cannot afford to sacrifice security, oversight, or control to get there. What’s new: Today, we’re bringing partner-built agents from our Agent Marketplace directly into the Agent Gallery inside the Gemini Enterprise

This post is cowritten by Anil Akarsu and Dr. Renè Holschuh from BASF. BASF is a global chemical industry leader and active member of the Catena-X Automotive Network. It pioneers sustainable solutions that enable automotive organizations to track carbon emissions across complex supply chains. CircularTree transforms sustainability reporting through innovative digital solutions that systematically identify

As AI models improve, technical practitioners are increasingly turning to agentic AI tools to build with Google Cloud products, from Firebase and the Gemini API, to BigQuery and GKE.  But how can you ensure that the model is equipped with accurate, up-to-date information about these technologies?  One way to do this is to plug your

Significant contributors to this article include Megan O’Keefe, Senior Staff Developer Advocate, and Karl Weinmeister, Director of Developer Relations. Whether you are joining us in person in Las Vegas or tuning in virtually from around the world, Google Cloud Next ’26 offers a deep look into the practical evolution of AI. With 89% of sessions

The AI era requires a fundamental rethink of physical cloud architecture — networking, in particular. With foundational model parameters growing exponentially, traditional general-purpose networks are reaching their breaking points. To fuel the next decade of machine learning, Google designed Virgo Network, a new megascale AI data center fabric that embraces a “campus-as-a-computer” philosophy, and that

While generative AI sparked a revolution, the true paradigm shift is the rapid evolution from standalone AI models to multi-agent autonomous systems. In this new era, the network transcends basic connectivity to become the critical integration layer for your agentic enterprise. As AI agents and services surge, your core applications remain as vital as ever.