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…
Tencent: Building analytics culture for better game development
Tencent is a leading internet and technology company headquartered in Shenzhen, China. Our mission is “value for users, tech for good.” We are also the company behind world-famous games like Level Infinite, PubG Mobile, Honor of Kings, GTFO, and Assassin’s Creed Jade. In February 2020, we acquired Funcom,…
Advancing the art of AI-driven security with Google Cloud
The advent of generative AI has unlocked new opportunities to empower defenders and security professionals. Google have already seen how AI can transform malware analysis at scale as we work to deliver better outcomes for defenders. In fact, using Gemini 1.5 Pro, Google were recently…
Introducing multimodal and structured data embedding support in BigQuery
Embeddings represent real-world objects, like entities, text, images, or videos as an array of numbers (a.k.a vectors) that machine learning models can easily process. Embeddings are the building blocks of many ML applications such as semantic search, recommendations, clustering, outlier detection, named entity extraction, and…
Five ways to foster team culture and community with Google Chat
Google Chat is a great tool for teams to stay connected and productive, with support for real-time messaging, scaled collaboration and rich personal expression. These features also make Chat a powerful way to build culture and community. Here are five ways Workspace customers use Chat to…
5 ways AI and no-code innovations are easier to adopt in 2024
To stay competitive, organizations need to quickly build applications that can automate workflows, improve productivity, and connect with customers. Recent innovations in AI are further democratizing no-code application development, allowing businesses and organizations to see a greater impact. In Forrester’s January 2024 Total Economic Impact study of…
Introducing stronger default Org Policies for our customers
Google Cloud strives to make good security outcomes easier for customers to achieve. As part of this continued effort, we are releasing an updated and stronger set of security defaults that are automatically implemented for new customers. Google Cloud customers with a verified domain receive…
How to set compliance controls for your Google Cloud Organization
Assured Workloads is a modern cloud solution that allows companies to more easily run regulated workloads in many of Google Cloud’s global regions. Assured Workloads can help you ensure comprehensive data protection and regulatory compliance across your Google Cloud Organization. It allows you to apply specific security and…
Expanding Sensitive Data Protection to make it easier to protect data in Cloud SQL
Organizations rely on data-driven insights to power their business, but unlocking the full potential of data comes with the responsibility to handle it securely. This can be a significant challenge when data growth can easily outpace the ability to manually inspect it, and data sprawl…
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- 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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