As enterprise storage vendors focus on driving improved customer experiences across their installed bases, cloud-based predictive analytics platforms are replacing traditional remote monitoring. This white paper defines cloud-based predictive analytics, discusses evolving storage requirements driving their rise, and looks at how these platforms drive incremental value for customers in performance, availability, management, recovery and IT infrastructure planning. It dives deep into the advantages of the HPE InfoSight cloud-based predictive analytics platform, highlighting how it drives value for customers.
Maps that precisely plot road signs, traffic lights, lanes, and sidewalks within a few centimeters—that’s the sort of data-intensive information required to make Bertrandt’s self-driving car project HARRI a reality. And it took Microsoft Azure Services to tame the tremendous flood of data needed to drive HARRI, as a small map’s worth of data with this level of detail would overwhelm the vehicle’s on-board storage capabilities. Azure DevOps facilitated the creation of the exacting software for this solution by coordinating the work of development, operations, and quality assurance teams.