Google Cloud announced the launch of several new data cloud features to help businesses accelerate the introduction of artificial intelligence technologies and provide enterprise-side artificial intelligence application services based on accurate inferences based on real corporate data.
Building a new generation of intelligent applications using Spanner Graph
Based on Spanner, a global distributed relational database management system that operates 24/7, maintains global consistency, and can be expanded without limit, it combines graph database functions built for specific purposes.Spanner Graph Service, which is currently available in preview, allows enterprises to apply graph database functions to trillions of edge devices, while also maintaining scalability through transparent sharding technology to meet the growing demand for graph data storage.
The Vertex AI platform, hosted by Google Cloud, provides artificial intelligence model resources. Deep integration with the Spanner Graph service will simplify artificial intelligence operations. For example, large-scale natural language models can be used to generate text embeddings for graph nodes and edges, and the generated results can be used to enrich graph content, or to find suitable image content through semantic analysis and vector search.
Spanner Graph applications include product recommendations, financial fraud analysis, social network content presentation, game content interaction, and network security. It also includes enhanced image content retrieval capabilities, allowing more artificial intelligence computing to enhance the user experience.
Through the Spanner dual-region setting recently launched by Google, the Spanner service availability will reach 99.999%, and it will comply with the data landing regulations of regions such as Australia, Germany, India and Japan. While improving latency issues in various parts of the world, it will also make Spanner application services more cost-effective. Currently, three versions are available: Standard, Enterprise and Enterprise Plus, and the pricing method is changed to a server-based pricing method, and computing and network replication costs are calculated separately, making the pricing model more transparent.
Gemini Data Virtual Service Specialist helps enhance productivity
At this year's Cloud Next 2024 event, Google has begun to import a lot of automatically generated artificial intelligence into its cloud services, making Gemini technology available for more service functions. The Gemini in BigQuery function, which was previously available in preview version, has now been released in official version, and has added support for SQL and Python programming, as well as Data Canvas information that shows how data is added to the data table and whether any other modifications are made. In addition, partitioning and clustering recommendations have been added.
In addition, it provides formula assistance and automatic generation of slide content.Gemini in Looker, currently available in preview version, allows developers to more easily "communicate" with data content, quickly create related calculation fields without having to remember complex formulas, and automatically generate function summary text highlights to create more impactful presentations.
