Long document summarization with Workflows and Gemini models
With generative AI top of mind for both developers and business stakeholders, it’s important to explore how products like Workflows, Google Cloud’s serverless execution engine, can automate and orchestrate large language model (LLM) use cases. We recently covered how to orchestrate Vertex AI’s PaLM and Gemini APIs…
Creating marketing campaigns using BigQuery and Gemini models
Creating marketing campaigns is often a complex and time-consuming process. Businesses aim to create real-time campaigns that are highly relevant to customer needs and personalized to maximize sales. Doing so requires real-time data analysis, segmentation, and the ability to rapidly create and execute campaigns. Achieving…
Cloud SQL: Rapid prototyping of AI-powered apps with Vertex AI
Developers seeking to leverage the power of machine learning (ML) on their PostgreSQL data often find themselves grappling with complex integrations and steep learning curves. Cloud SQL for PostgreSQL now bridges this gap, allowing you to tap into cutting-edge ML models and vector generation techniques offered by Vertex…
Introducing Shadow API detection for your Google Cloud environments
Enterprises operate a large and growing number of APIs — more than 200 on average — each a potential front door to sensitive data. Even more challenging can be figuring out which of these APIs are not actively managed “shadow APIs”. Born from well-intended development initiatives and…
Chrome Enterprise expands ecosystem to strengthen endpoint security and Zero Trust access
The modern workplace relies on web-based applications and cloud services, making browsers and their sensitive data a primary target for attackers. While the risks are significant, Chrome Enterprise can help organizations simplify and strengthen their endpoint security with secure enterprise browsing. Following our recent Chrome Enterprise Premium launch, today…
AI and the Five Phases of the Threat Intelligence Lifecycle
Artificial intelligence (AI) and large language models (LLMs) can help threat intelligence teams to detect and understand novel threats at scale, reduce burnout-inducing toil, and grow their existing talent by democratizing access to subject matter expertise. However, broad access to foundational Open Source Intelligence (OSINT)…
Game-changing assets: Making concept art with Google Cloud’s generative AI
Developing games is unique in that it requires a large variety of media assets such as 2D images, 3D models, audio, and video to come together in a development environment. However, in small game teams, such as those just getting started or “indie” teams, it’s…
AI can be the catalyst to reignite your digital transformation
Be honest with me: Is your “digital transformation” stuck? Did you start in earnest a few years back, and now you’re sitting on half-finished projects, uneven outcomes, and a distracted staff? It happens. Maintaining momentum for multi-year efforts isn’t easy. Especially efforts that are increasingly…
Introducing new ML model monitoring capabilities in BigQuery
Monitoring machine learning (ML) models in production is now as simple as using a function in BigQuery! Today Google introducing a new set of functions that enable model monitoring directly within BigQuery. Now, you can describe data throughout the model workflow by profiling training or…
Product analytics for generative AI model and media asset companies using BigQuery
Over the last year, there’s been a lot of change in the commercial image and video asset industry: New generative AI applications let users create their own still and live images based on prompts, and traditional stock-media asset providers are offering customers richer search experiences…
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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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