Cloud Quarterly: Azure AI pop, AWS supply pinch and Google execution https://t.co/eRAjYq76xu
Gartner just ranked Google Cloud #1 for “completeness of vision.” Translation? They’re not just keeping up in AI infrastructure — They’re setting the roadmap. https://t.co/PRFpmNu4v8 https://t.co/OBvxJAIrDZ
Fact: Building an in-house search solution is costly and requires access to scarce AI expertise. Fact: Using Agentspace search on Google Distributed Cloud provides you with out-of-the-box capabilities that unify access to all your data in a secure, permissions-aware way. https://t.co/unht0FMzR0
Google Cloud has introduced six new AI-powered agents and tools designed to enhance enterprise data science and engineering capabilities. These include the Data Engineering Agent and Data Science Agent, both currently in preview, as well as a Code Interpreter developed in collaboration with Google DeepMind. The updates aim to automate data tasks, potentially reducing labor costs by up to 70%, while improving productivity and minimizing errors in data processing. Additionally, Google has launched a Spanner columnar engine and enhanced its Conversational Analytics Agent. These innovations were announced at the Cloud Next Tokyo event and reflect Google's strategic focus on simplifying data preparation and analysis for data scientists and engineers. Gartner recently ranked Google Cloud number one for "completeness of vision" in AI infrastructure, underscoring its leadership in setting the industry roadmap. Furthermore, Google Distributed Cloud now offers Agentspace search, providing unified, secure access to data without the need for costly in-house search solutions or specialized AI expertise.