Devoted Health, an all-in-one healthcare company, uses Chromebooks to keep patient records secure and provide helpful applications to its employees. With over 2,000 employees using Chromebooks across 13 U.S. states, the company has reduced its total cost of ownership of devices by 44% since switching to ChromeOS. The company started as a hybrid business in 2017 and has maintained a distributed work model with the help of ChromeOS.

Source: https://cloud.google.com/blog/

Researchers at the University of Warsaw and University of California in Los Angeles are leveraging AI tools and Google Cloud to analyze massive amounts of data from wearable fitness devices, medical imaging, and electronic health records to improve disease classification and prognosis. Assistant Professor Neo Christopher Chung is leading the research, which aims to accelerate the collection and analysis of insights. The project focuses on processing data quickly and securely to translate insights into clinical practice.

Source: https://cloud.google.com/blog/

BigQuery's Gemini foundation model enables users to find data, create SQL, and generate charts using natural language prompts. This model is part of BigQuery Data Canvas, a tool that allows developers, data scientists, and analysts to share query building processes and insights. Users can locate, join, and query table assets using natural language, visualize results, and collaborate.

Source: https://cloud.google.com/blog/

Google Kubernetes Engine (GKE) is a powerful and scalable way to orchestrate containerized applications, but networking complexities can lead to connectivity issues. Common problems include GKE cluster control plane connectivity issues, internal GKE communications, and connectivity between pods within the cluster. Troubleshooting techniques are provided to address these issues.

Source: https://cloud.google.com/blog/

BigQuery data canvas can benefit companies of all sizes by providing a deeper understanding of their developer team's productivity. The example uses the github_repos public dataset to generate valuable insights in a shareable workspace. Data canvas makes it easy to perform complex queries, including joining and unnesting nested fields, converting timestamps, and extracting month/year from date fields.

Source: https://cloud.google.com/blog/

Dataproc Metastore is a fully managed Apache Hive metastore that runs on Google Cloud, providing high availability, autohealing, autoscaling, and serverless capabilities. It helps manage data lakes and metadata, and enables interoperability between data processing engines and tools. If you're migrating from an on-premises Hadoop environment with multiple Hive Metastores to Dataproc Metastore, you'll need to design an effective architecture.

Source: https://cloud.google.com/blog/

BigQuery's self-service production sample data requires careful management to prevent sample inflation. The sampler function removes previous samples, lists available policies, and sends SAMPLE_START commands for each table. It checks for corresponding request files and is tolerant of faulty requests.

Source: https://cloud.google.com/blog/

Maisons du Monde, a French home furnishings retailer, uses over 1,500 ChromeOS devices across its 349 stores in Europe and headquarters to deliver customer service and support its growth plans. The company aims to produce 40% of its furniture sustainably and responsibly by 2025 and expand to 400 stores. Nicolas Delporte, Group CISO and Head of Green Digital Workplace, and Olivier Biron, IT Support Manager, are the key individuals involved.

Source: https://cloud.google.com/blog/

In today's fast-paced software development landscape, generative AI is emerging as a game-changer to break through barriers and simplify the path to success. It's transforming the developer experience by injecting new energy into projects, inspiring teams, and increasing productivity across all aspects of development.

Source: https://cloud.google.com/blog/

Google Cloud's Contact Center AI Platform (CCAI Platform) is designed to empower agents, streamline operations, and elevate the customer experience. It's a modern, AI-powered contact center solution for businesses, contact center managers, and agents seeking to improve efficiency and customer satisfaction.

Source: https://cloud.google.com/blog/