Google Cloud Launches New Data Cloud Innovations to Help Customers Accelerate AI Adoption
Making it easier to build intelligent gen AI apps with game-changing capabilities with Spanner Graph, and new generative AI functionality in BigQuery, Looker, and more. Google Cloud today announced a slew of new data cloud innovations to help customers accelerate their AI adoption and build enterprise AI apps that are accurate, relevant, and grounded in enterprise truth.
Powering the Next Generation of Intelligent Applications with Spanner Graph
Spanner Graph is Google Cloud's new groundbreaking offering that unites purpose-built graph database capabilities with Spanner, our always-on, globally consistent, and virtually unlimited-scale database. Google Distributed Cloud air-gapped appliance is an integrated hardware and software solution that unlocks real-time local data processing for AI use cases such as object detection, medical imaging analysis, and predictive maintenance for critical infrastructure. The appliance can be conveniently transported in a rugged case or mounted in a rack within customer-specific local operating environments.
Now available in Preview, Spanner Graph gives customers the ability to scale beyond trillions of edges while offering industry-leading availability and consistency, and is a great solution for even the most mission-critical graph applications. In particular, Spanner's transparent sharding can scale elastically to very large data sets and can use massively parallel query processing without any intervention on your part.
Spanner Graph is also deeply integrated with Vertex AI, Google Cloud's fully managed, unified AI development platform. This enables customers to directly access Vertex AI's extensive suite of predictive and generative models through the Spanner Graph schema and query, streamlining your AI workflow. For example, you can generate text embeddings for graph nodes and edges using LLMs, enriching your graph with the results, and then you can use vector search to retrieve from your graph in the semantic space.
With this, Google Cloud has evolved Spanner from not only being the most available, globally consistent, and scalable database but also a multi-model database with intelligent capabilities that seamlessly interoperate to enable you to deliver a new class of AI-enabled applications.
Keyword Search and Semantic Search
Keyword search and semantic search are also important building blocks for AI apps. Today, we're announcing full-text search and vector search in Spanner. The new full-text search feature builds on Google's decades of expertise in search and delivers highly scalable advanced full-text search.
Spanner's new approximate nearest neighbor vector search is based on Google's innovative ScaNN algorithm, which we first brought to AlloyDB and now Spanner. With it, you can now index and search vector embeddings to power AI-driven semantic search. With Spanner Graph, full-text search, and vector search, we have evolved Spanner to be a multi-model database with intelligent capabilities that seamlessly interoperate to deliver a new class of AI-enabled applications.
Introducing Gemini Data Agents for Enhanced Productivity
To help customers accelerate their multimodal, multi-engine, and multicloud data-to-AI journey, Google Cloud is infusing gen AI capabilities into its data cloud offering and maturing its gen AI capabilities to general availability.
Gemini in BigQuery now GAGemini in BigQuery delivers AI-powered experiences such as data preparation, exploration and analysis, governance and security throughout the data journey, as well as intelligent recommendations to enhance user productivity and optimize costs.
We are now maturing the capabilities announced in Preview at Next' 24, with Gemini in BigQuery features now moving to general availability, including code assistance for SQL and Python, data canvas, as well as partitioning and clustering recommendations.
Gemini in Looker now in PreviewWith Gemini in Looker capabilities such as formula assist and slide generation, now available in preview, information workers can chat with their data. Now you can create calculated fields on-the-fly without having to remember complicated formulas. Automatic slide generation creates impactful presentations with insightful text summaries of your data.
