Winning the industrial AI game: Why labeled failure data, not algorithms, is key - IoT Agenda

Artificial intelligence is slowly but steadily embedding itself into the core processes of multiple industries and changing the industrial landscape in so many ways -- be it deep learning-powered autonomous cars or bot-powered medical diagnostic processes. The industrial and energy sectors are not immune to the disruption that comes with embracing AI. As upstream and downstream companies gear up for AI, there is one important lesson I want to share that might seem counterintuitive. The Internet of Things (IoT) world may be exciting, but there are serious technical challenges that need to be addressed, especially by developers. In this handbook, learn how to meet the security, analytics, and testing requirements for IoT applications.