With connected devices through the Internet of Things generating unprecedented amounts of data, traditional, highly centralized compute architectures like cloud-first designs need reconsideration. To be able to process and act on data where it matters, while it matters, compute needs to be closer to data sources and much more intelligently distributed in nature.

Enter artificial intelligence — another buzz term often quoted but infrequently truly understood (especially in an Edge-core-cloud context). While Edge is a “place” (made real when used to harness value through Edge computing, and IoT is realistically a term used to describe a set of use cases, AI is another umbrella term, this time used to describe a specific set of capabilities for automated decision making.

With the combination of Edge computing, computer vision and data
analytics, manufacturers are forced to transform …

To compete effectively, manufacturers need real-time insights into their operations from data that is generated across the production environment. This is one of the keys to reducing downtime, improving product quality, increasing factory output and meeting other business-driven goals.

To achieve these goals, smart manufacturers are transforming their operations with innovative Edge solutions that automate data collection and move processing and analytics closer to where the data is born. These smart manufacturing solutions allow intelligent systems to take immediate actions to optimize everything from machinery performance and equipment maintenance to supply chains, logistics and factory security.