Achieving real-time decision making and predictive analytics is an increasingly strategic goal among industrial operations – an imperative fueled by rapid digital transformation and a growing appetite for automation upgrades across the broad spectrum of commercial and manufacturing applications. 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. For example, 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. Premio’s heritage in rugged edge computing solutions fills the void. It uniquely positions industrial leaders to effectively balance the performance, reliability, footprint, and longevity requirements of new and more sophisticated industrial IoT deployments. 

As our digital world continues to shift and transform enterprise business landscapes into smarter digital atmospheres, the best computing solutions act on data insights for real-time processing and deliver intelligent results. Especially with faster, power-efficient cores jampacked into smaller nanometer silicon for blazing fast compute power and 5G wireless connectivity on the horizon, the next generation of embedded IoT solutions will consolidate the most complex workloads and enable machine learning for a future of artificial intelligence.