In 2017, we introduced Cloud Machine Learning Engine, to help developers with machine learning expertise easily build ML models that work on any type of data, of any size. Our Google Cloud AI team has been making good progress towards this goal. The report recognizes the investments we’ve made in advanced analytics and machine learning. From custom machine types and sustained use discounts, to the next generation of cloud-native containerized development and operations through tools like Kubernetes and Istio, we work hard to deliver a cloud that can run your most demanding applications. Gartner identifies our core IaaS and PaaS capabilities as a strength, and noted that we’re increasingly offering a number of innovative capabilities. Here are a few takeaways from the report: It also highlights our goal to help customers transform their businesses through open source and deep investments in analytics and machine learning. We believe being recognized by Gartner as one of the three leading cloud providers demonstrates our commitment to building innovative technology that helps customers run their businesses at scale. With an increasing number of enterprises turning to the cloud to build and scale their businesses, research from organizations like Gartner can help you evaluate and compare cloud providers. We’re pleased to announce that Gartner recently named Google as a Leader in the 2018 Gartner Infrastructure as a Service Magic Quadrant (report available here).
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