Machine Learning to Power the Future of Streaming Analytics

The incredible amount of data that will be generated in the next few years demands help to manage, mostly in the form of machine learning algorithms. Our intelligent devices generate more data than ever before. Today's population of IoT devices numbers more than 10 billion worldwide, and by some estimates, there will be more than 25.4 billion devices by 2025, generating an unfathomable 73.1 ZB (zettabytes) of data. It is not humanly possible to track even a minuscule fraction of that incoming telemetry and analyze it to quickly extract needed business intelligence or spot issues and growing trends in real time. Consider a nationwide fleet of long-haul trucks that needs to meet demanding schedules and can't afford unexpected breakdowns.