Why serverless technology is the next big movement

Over the past decade, we’ve seen serverless computing take the cloud computing world by storm. Serverless is a cloud computing application development and execution model that enables developers to build and run application code without provisioning or managing servers or backend infrastructure. When developers first started using serverless technology, they were mostly only using it …

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Use generative AI to increase agent productivity through automated call summarization

Your contact center serves as the vital link between your business and your customers. Every call to your contact center is an opportunity to learn more about your customers’ needs and how well you are meeting those needs. Most contact centers require their agents to summarize their conversation after every call. Call summarization is a …

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No more double vision: How Miinto improved its customer experience using Vertex AI Vision

The fashion world is notoriously fast-paced, and it can be hard to keep up with the latest trends. At Miinto, we bring over 1,000 of the world’s best boutiques together in one place. We strive to offer the most customer-centric fashion platform on the planet, where users can find the best selection of premium, luxury …

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Priority-based scheduling between node pools

Google Kubernetes Engine (GKE) is a leading managed Kubernetes service in the market. GKE is used by several organizations today that are using Google Cloud. As costs rise, customers are shifting their focus to cloud cost optimization. They are seeking more efficient and cost-effective ways to run their workloads by utilizing the best-in-class optimization techniques …

K-Nearest Neighbors Classification Using OpenCV

The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications.  In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest Neighbors algorithm for the task of classifying handwritten digits. After completing this tutorial, you will know: Several of the most important characteristics of the k-Nearest …

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Best of both worlds: Achieving scalability and quality in text clustering

Posted by Sara Ahmadian and Mehran Kazemi, Research Scientists, Google Research Clustering is a fundamental, ubiquitous problem in data mining and unsupervised machine learning, where the goal is to group together similar items. The standard forms of clustering are metric clustering and graph clustering. In metric clustering, a given metric space defines distances between data …