Get to know Vertex AI Model Monitoring
Google are introducing the new Vertex AI Model Monitoring, a re-architecture of Vertex AI’s model monitoring features, to provide a more flexible, extensible, and consistent monitoring solution for models deployed on any serving infrastructure (even outside of Vertex AI, e.g. Google Kubernetes Engine, Cloud Run,…
Google Cloud expands grounding capabilities on Vertex AI
Introduced in April, Vertex AI Agent Builder gathers all the surfaces and tools developers need to build enterprise-ready generative AI experiences, apps, and agents. Some of the most powerful tools are the components for retrieval augmented generation (RAG), and the unique ability to ground Gemini outputs with…
Making Vertex AI the most enterprise-ready generative AI platform
It’s been amazing to see the impressive things customers are doing with generative AI and agents. Less than three months ago, Google shared 101 real-world gen AI use cases from the world’s leading organizations. Since then, to enable businesses to roll out compelling AI agents faster,…
Datastream’s SQL Server source is generally available
Have you ever wished it were easier to replicate your SQL Server databases? To address this challenge, Google are announcing the general availability (GA) of Datastream’s SQL Server source. This means you can now easily and reliably replicate data from your SQL Server databases to BigQuery, Cloud…
New strides in making AI accessible for every enterprise
Google have been thrilled to see the recent enthusiasm and adoption of Gemini 1.5 Flash — Google fastest model to date, optimized for high-volume and high-frequency tasks at scale. Every day, Google learn about how people are using Gemini to do amazing things like transcribe audio, understand code errors, and build…
Designing Generative AI Solutions: Key Lessons Learned
Generative AI is transforming the way we interact with technology. Google Cloud Applied AI Engineering team has shaped the design and development of generative AI solutions for Generative AI for Marketing, Customer Experience Modernization, and Open Data QnA (NL2SQL), among others. Throughout this process, Google have gained valuable…
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Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
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