Neville Vincent says the combination of hyperconverged infrastructure, edge computing and AI is driving value and insights to new levels. While cloud has been a key component to AI's exponential growth and its availability on nearly every technological device, the combination of hyperconverged infrastructure HCI), edge computing and AI provides the ideal environment to uncover patterns in data from multiple devices and predict future performance or issues. It is driving value and insights to new levels. The adoption of hybrid cloud -- enabled by HCI and public cloud and combined with AI and data gathered from the edge -- offers granular visibility into operations, enabling real-time, comprehensive and actionable intelligence. Through this combination businesses will become self-learning, flexible, self-determining and able to adopt next-generation infrastructure to help realign their operations, personnel, business and even business models.

A global study of business leaders conducted by SAS, Deloitte and Intel claims to have shown organisations combining artificial intelligence with their IoT initiatives get much better results than those using IoT alone. For the study, 450 business leaders from around the world were asked about their use of IoT and AI technologies. IDC conducted research and analysis for the study. The study, AIoT- How IoT Leaders Are Breaking Away, coins the term'AIoT' for IoT enhanced with AI. SAS COO, Oliver Schabenberger said most successful IoT operations are actually AIoT operations.