In this Quick Chat, Dustin Seetoo, Premio Inc., covers achieving real-time decision making and predictive analytics, an increasingly strategic goal among industrial operations. Rugged edge computing plays a critical role in this landscape, accelerating data processing based on a variety of sensor input data and enabling access and analytics close to the data source. The primary goal of many new IoT applications is the delivery of a level of intelligence refined beyond human capabilities or pace. In these applications, machine learning is required but must be supported by dedicated hardware to process and run algorithms effectively. At the same time, engineers are often forced to design compute solutions for scenarios where they lack experience to meet these growing IoT demands. Rugged edge computers address such challenges and are specifically developed to withstand the rigors of harsh usage conditions with built-in durability and ruggedized features throughout.
