Cloud Computing

For much of the 20th Century and into the 21st, telecommunications companies have been at the forefront of technological growth. In 1970 only 35% of UK households had landline telephones. Fast forward to today, and more than 90% of adults in the UK have cell phones. The infrastructure required to revolutionize how people communicate took […]

Today’s organizations aspire to become “by-the-second” businesses, capable of adapting in real time to changes in their supply chain, inventory, customer behavior, and more. They also strive to provide exceptional customer experiences, whether it’s through a support interaction or an online checkout process. We believe that real-time intelligence should be accessible to all businesses, regardless

Software development is the engine of the modern economy. However, creating great applications across the tech stack is complex because of an increasing number of abstraction levels, integrations, vendors, and a dearth of experienced developers.  IT leaders need to equip their teams with solutions that use AI to help their developers navigate complexity, so they

Many Google Cloud customers need to build multi-region or globally distributed architectures with sub-millisecond latencies at scale — and with high availability. Memorystore for Redis Cluster and Valkey is Google Cloud’s fully managed, in-memory data store that delivers extreme performance, sub-millisecond latency, and high scalability for enterprise applications. Today, we are excited to announce the

Log data has become an invaluable resource for organizations seeking to understand application behavior, optimize performance, strengthen security, and enhance user experiences. But the sheer volume and complexity of logs generated by modern applications can feel overwhelming. How do you extract meaningful insights from this sea of data? At Google Cloud, we’re committed to providing

At Google Cloud, we’re always looking for ways to help our B2B and B2C customers advance their digital transformation through conversational AI, no matter their starting point. Whether you’re an enterprise aiming to modernize and deliver AI-powered conversational experiences to your customers, or a leading CPG company implementing new engagement models with intelligent agents, the

Big data and AI have revolutionized how businesses operate, but also present new challenges, particularly concerning data privacy and accessibility. Organizations increasingly rely on large datasets to train machine learning models and develop data-driven insights, but accessing and using real-world data can be problematic. Privacy regulations, data scarcity, and inherent biases in real-world data hinder

In the rapidly evolving landscape of AI, efficiently serving AI models is critical to ensure the platform delivers value at optimal performance and cost. But the complexities of optimizing and operating an increasing variety of AI models prevents many organizations from fully realizing AI’s value. We’ve been partnering closely with NVIDIA to bring the power