Google Cloud’s contact centers have been live for over a decade, during which Google seen demand accelerate significantly. Fast growth has led to a spike in calls, posing enormous challenges to our call center capabilities. At any given time, people from all over the world…

For generative AI to achieve its immense potential, it needs to be broadly accessible and easy to integrate into a range of services. That’s why Google offer our customers Vertex AI Search and Conversation— generally available today— to abstract the complexity of creating generative search…

Cloud SQL for PostgreSQL and AlloyDB for PostgreSQL now support the pgvector extension, bringing the power of vector search operations to PostgreSQL databases. In this step-by-step tutorial, we will show you how to add generative AI features to your own applications with just a few lines of code using pgvector,…

Generative AI is ushering in a new wave of experiences that transform how we interact with information, brands, and one another. In the future, Google believe that almost every application will be AI-driven, and developers who build these applications will need the right tools to…

It is amazing how much technology has evolved over the years and continues to do so. AI is no exception to this trend, and it is exciting to see how it can assist us in various ways. There is no denying that many of us…

Google announced today at RSA Conference in San Francisco, uses the recent advancement in Large Language Models (LLMs) to address three of the biggest challenges in cybersecurity: threat overload, toilsome tools, and the talent gap. Threat intelligence is an area that suffers from all three…