SWIM Blog

Machine Learning vs. Artificial Intelligence - Infographic

Swim ESPTM is a streaming data analytics engine that takes advantage of a distributed network architecture to operate self-training Machine Learning (ML) at the edge in real-timeSwim ESP offers a simple approach to Machine Learning at the edge, which provides real-time  learned insights for time-critical applications. Swim applies learning at the data source – such on industrial devices, Smart City sensors, Unmanned Aerial Vehicles (UAVs), or other autonomous vehicles. Swim ESP then shares learned insights with other virtual components using an efficient pub-sub protocol, automatically building a distributed, secure, & resilient fabric that spreads knowledge throughout the network.

We've put together an infographic comparing Machine Learning and Artificial Intelligence and highlight examples where edge computing solutions like Swim ESP can enable these applications in the future:

Machine Learning vs. Artificial Intelligence | Swim Inc.

Learn how the Swim ESPTM streaming analytics engine enables Machine Learning applications at the edge.

Machine Learning vs. Artificial Intelligence - Infographic (PDF)

Posted on Oct 6, 2017 11:17:00 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Edge Analytics, in Swim AI