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.

This content is restricted to subscribers

Subscribe
Notify of
guest
1 Comment
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
Dustin Seetoo

Learn more about how we have helped IoT enterprise customer succeed from our case studies – https://premioinc.com/blogs/blog/tagged/case-study