A little over a year ago, we published a list of generative AI use cases that has since grown to include more than 600 examples of how organizations are putting AI to work. Yet for many developers...
As data platforms evolve and businesses diversify their cloud ecosystems, the need to migrate SQL workloads between engines is becoming increasingly common. Recently, I had the opportunity to work on...
Startups are at the forefront of generative AI development, pushing current capabilities and unlocking new potential. Building on our Future of AI: Perspectives for Startups 2025 report, several of...
Building advanced conversational AI has moved well beyond text. Now, we can use AI to create real-time, voice-driven agents. However, these systems need low-latency, two-way communication, real-time...
Google is proud to support the U.S. government in its modernization efforts through the use of AI. Today, in partnership with the General Services Administration (GSA) and in support of the next...
AI is unlocking scientific breakthroughs, improving healthcare and education, and could add trillions to the global economy. Understanding AI’s footprint is crucial, yet thorough data on the energy...
Managing IP addresses in Kubernetes can be a complex and daunting task — but a crucial one. In Google Kubernetes Engine (GKE), it’s important that you manage IP addresses effectively, given the...
As organizations increase their focus on security and regulatory compliance, Google Cloud is helping our customers meet these obligations by fostering better collaboration between security and...
In the age of data democratization and generative AI, the way organizations handle data has changed dramatically. This evolution creates opportunities — and security risks. The challenge for security...
Do you remember packing for an extended trip twenty years ago? We had to load up a camera, a day planner, a pile of books, a handheld gaming device, a map-stuffed tourist guide, a phone, a CD player,...