The security operations centers of the future will use agentic AI to enable intelligent automation of routine tasks, augment human decision-making, and streamline workflows. At Google Cloud, we want to help prepare today’s security professionals to get the most out of tomorrow’s AI agents. As we build our agentic vision, we’re also excited to invite […]
Introducing the Agentic SOC Workshops for security professionals Read More »
Securing AI systems is a fundamental requirement for business continuity and customer trust, and Google Cloud is at the forefront of driving secure AI innovations and working with partners to meet the evolving needs of customers. Our secure-by-design cloud platform and built-in security solutions are continuously updated with the latest defenses, helping security-conscious organizations confidently
Announcing partner-built AI security innovations on Google Cloud Read More »
Ryan is joined by our very own Ash Zade, Product Manager, and Alex Warren, Staff Software Engineer, to discuss our newly released stackoverflow.ai, how it’s enhancing user experience by combining human-validated answers with AI, and our future plans for deeper personalization and community integration.
We built stackoverflow.ai with the community and for the community Read More »
While petabyte-scale data warehouses are becoming more common, getting the performance you need without escalating costs and effort remain key challenges, even in a modern cloud data warehouse. While many data warehouse platform providers continue to work on these challenges, BigQuery has already moved past petabyte-scale data warehouses to petabyte-scale tables. In fact, some BigQuery
BigQuery under the hood: The power of the Column Metadata index aka CMETA Read More »
Growing up in a Navy family instilled a strong sense of purpose in me. My father’s remarkable 42 years of naval service not only shaped my values, but inspired me to join the Navy myself. Today, as the leader of Google Public Sector, I’m honored to continue that tradition of service in support of our
The automotive industry is in the midst of a profound transformation, accelerating towards an era of software-defined vehicles (SDVs). This shift, however, presents significant challenges for manufacturers and suppliers alike. Their priority is making great vehicles, not great software, though the latter now contributes — and is increasingly a necessity — to achieve the former.
Driving for the Horizon: New Android Automotive solution on cloud offers faster builds Read More »
Tata Steel is one of the world’s largest steel producers, with an annual crude steel capacity exceeding 35 millions tons. With such a large and global output, we needed a way to improve asset availability, product quality, operational safety, and environmental monitoring. By centralizing data from diverse sources and implementing advanced analytics with Google Cloud,
For ten years, Google Kubernetes Engine (GKE) has been at the forefront of innovation, powering everything from microservices to cloud-native AI and edge computing. To honor this special birthday, we’re challenging you to catapult your microservices into the future with cutting-edge agentic AI. Are you ready to celebrate? Build AI Agents on GKE in the
Calling all devs: Join the GKE Turns 10 Hackathon and build with agentic AI Read More »
Apache Spark is a fundamental part of most modern lakehouse architectures, and Google Cloud’s Dataproc provides a powerful, fully managed platform for running Spark applications. However, for data engineers and scientists, debugging failures and performance bottlenecks in distributed systems remains a universal challenge. Manually troubleshooting a Spark job requires piecing together clues from disparate sources
Investigate fast with AI: Gemini Cloud Assist for Dataproc & Serverless for Apache Spark Read More »
Apache Spark is a fundamental part of most modern lakehouse architectures, and Google Cloud’s Dataproc provides a powerful, fully managed platform for running Spark applications. However, for data engineers and scientists, debugging failures and performance bottlenecks in distributed systems remains a universal challenge. Manually troubleshooting a Spark job requires piecing together clues from disparate sources
Investigate fast with AI: Gemini Cloud Assist for Dataproc & Serverless for Apache Spark Read More »
