Document AI adds three new capabilities to its OCR engine
Documents are indispensable parts of our professional and personal lives. They give us crucial insights that help us become more efficient, that organize and optimize information, and that even help us to stay competitive. But as documents become increasingly complex, and as the variety of…
Solving for the next era of innovation and efficiency with data and AI
Even in today’s changing business climate, Google customers’ needs have never been more clear: They want to reduce operating costs, boost revenue, and transform customer experiences. Today, at Google third annual Google Data Cloud & AI Summit, Google are announcing new product innovations and partner offerings…
Document AI adds one-click model training with ML Workbench
Each day, countless documents are created, revised, and shared across organizations. The result is a treasure trove of information, but because the data is primarily unstructured — without rows, columns or some other predefined organizational schema — it is difficult to interpret, analyze or use…
Building the most open and innovative AI ecosystem
The future of artificial intelligence (AI) will be open. New and innovative capabilities in areas like generative AI will come from all corners of the technology ecosystem and from companies distributed around the globe — from early stage startups to cloud-native AI platforms to large,…
How AI can improve digital security
AI is having a transformative moment and causing profound shifts in what’s possible with technology. It has the power to unlock the potential of communities, companies, and countries around the world, bringing meaningful and positive change that could improve billions of peoples’ lives. Similarly, as these technologies…
New offerings for government organizations to get started with AI
Cloud-native features are helping public sector teams innovate faster than ever. Ideas discussed in a morning meeting can be a working proof of concept later that day. Managed services can remove administrative burden and reduce the steps needed to design and provision cloud infrastructure. Security…
8 ways to cut costs and drive profits using data and AI
Google are increasingly seeing one question arise in virtually every customer conversation: How can the organization save costs and drive new revenue streams? Everyone would love a crystal ball, but what you may not realize is that you already have one. It’s in your data….
How to use advance feature engineering to preprocess data in BigQuery ML
Preprocessing and transforming raw data into features is a critical but time consuming step in the ML process. This is especially true when a data scientist or data engineer has to move data across different platforms to do MLOps. In this blogpost, Google describe how we…
Speech AI Year in Review
Almost anywhere you looked, AI-based speech technologies continued to blossom in 2022, from increased interest measured in Google Trends, to surprising medical advances that suggest speech patterns can help detect some illnesses, to the variety of digital services and devices that users control with their voices. …
Vertex AI Vision: Easily build and deploy computer vision applications at scale
If organizations can easily analyze unstructured data streams, like live video and images, they can more effectively leverage information from the physical world to create intelligent business applications. Retailers can improve shelf management by instantly spotting what products are out of stock, manufacturers can reduce…
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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
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