Why machine learning and data analysis are critical to Google's success in the cloud - TechRepublic

On Tuesday, at the 2017 Google Cloud Next conference in San Francisco, two key themes dominated Google's roadmap for its future in cloud: Machine learning and data analytics. The conference, held at the Moscone Center, saw Google executives like Google Cloud senior vice president Diane Greene, Google CEO Sundar Pichai, and Alphabet chairman Eric Schmidt take the stage to explain the mission of Google Cloud. Over the past year, Greene said, Google Cloud engineers have done 500 releases on the platform, and the company has ramped up partnerships as well. "Google Cloud is a natural extension of our mission to make information accessible and useful," Pichai said. SEE: Google Cloud Platform: The smart person's guide One of those partnerships was with analytics giant SAP. Green spoke with SAP's Bernd Leukert on stage at the event, where he explained that many of SAP's business products, like SAP HANA, are now generally available, and certified, on the Google Cloud Platform. However, SAP will remain custodian of that data, even though it is run in Google Cloud.