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…
How to build user authentication into your gen AI app-accessing database
Generative AI agents introduce immense potential to transform enterprise workspaces. Enterprises from almost every industry are exploring the possibilities of generative AI, adopting AI agents for purposes ranging from internal productivity to customer-facing support. However, while these AI agents can efficiently interact with data already…
Enhancing LLM quality and interpretability with the Vertex Gen AI Evaluation Service
Developers harnessing the power of large language models (LLMs) often encounter two key hurdles: managing the inherent randomness of their output and addressing their occasional tendency to generate factually incorrect information. Somewhat like rolling dice, LLMs offer a touch of unpredictability, generating different responses even…
AI-powered slide generation and formula assistant come to Gemini in Looker
Today’s business intelligence (BI) offerings are rapidly transforming into powerful, generative AI-driven data analysis tools that can be accessed by all members of your organization. Today, as part of that transformation, Google are bringing two key features of Gemini in Looker to preview: automated Google Slides…
Discover a brand new catalog experience in Dataplex, now generally available
Faced with ever-expanding volumes and types of data, organizations increasingly need a central catalog for their data assets. Dataplex Catalog, Google Cloud’s next-generation data asset inventory platform, provides a unified inventory for all your metadata, whether your resources are in Google Cloud or on-premises, and today,…
Transforming the Developer Experience for Every Engineering Role
In today’s fast-paced software development landscape, ambitious goals, complex technologies, and shifting priorities can lead to frustrated developer experience. However, the pressure to deliver faster, operate efficiently, and maintain robust security continues to intensify. What if there was a way to break through those barriers?…
Safeguard your SAP environments with Workload Manager’s evaluation service
As businesses embrace the cloud for their SAP workloads, compliance with best practices is critical. In this blog post, Google dive into Google Cloud’s Workload Manager and show how it can help safeguard your SAP systems by providing automated, rule-based analysis to proactively identify potential…