Google’s data cloud enables customers to drive limitless innovation and unlock the value of their data via its robust offerings under a single, unified interface. By migrating their data ecosystems to Google Cloud, organizations are able to break down their data silos and harness the full potential of their data. However, historically, migrating data warehouses […]

Editor’s note: In February 2021, Google Cloud and TELUS announced a 10-year strategic alliance to drive innovation of new services and solutions across data analytics, machine learning, and go-to-market strategies that support digital transformation within key industries, including communications technology, healthcare, agriculture, and connected home. By December 2021, TELUS had completed a pilot for a […]

At last year’s Google I/O, our team announced the preview release of a set of new WebGL-powered maps features for the Maps JavaScript API. These features give you unprecedented control of the vector basemap, as part of the customization and styling options available with Cloud-based maps styling. Check out our demo to explore these features […]

As part of today’s Google Cloud Applied ML Summit, we’re announcing a variety of product features and technology partnerships to help you more quickly and efficiently build, deploy, manage, and maintain machine learning (ML) models in production.  Our performance tests found a 2.5x increase in the number of ML predictions generated through Vertex AI and […]

Artificial intelligence (AI) and machine learning (ML) are transforming industries around the world, from trailblazing new frontiers in conversational human-computer interactions and speech-based analysis, to improving product discovery in retail,to unlocking medical research with advancements like AlphaFold.  But underpinning all ML advancements is a common challenge: fast-tracking the building and deployment of ML models into […]

Earlier this year, we shared details about our collaboration with USAA, a leading provider of insurance and financial services to U.S. military members and veterans, who leveraged AutoML models to accelerate the claims process. Boasting a peak 28% improvement relative to baseline models, the automated solution USAA and Google Cloud produced can predict labor costs […]

Wondering how to get started with Vertex AI? Below, we’ve collected a list of resources to help you build and hone your skills across data science, machine learning, and artificial intelligence on Google Cloud. We’ve broken down the resources by what we think a Data Analyst, Data Scientist, ML Engineer, or a Software Engineer might […]

In January, we previewed Neo4j’s and Google Cloud Vertex AI’s partnership in a blog about how you can use graphs for smarter AI when using Neo4j AuraDS to generate graph embeddings. This blog post garnered a lot of attention from data scientists looking to amplify their machine learning (ML) pipelines by feeding knowledge (graph features) […]

NVIDIA GPU-powered instances on Google Cloud provide an optimal platform for organizations to develop their AI applications on the latest hardware and software stack, then seamlessly deploy those applications at scale in production. Simplifying Workflows to Speedup AI Developments NVIDIA recently announced the One Click Deploy feature on the NVIDIA NGC catalog, the hub for […]