Realizing the Smart IIoT Dream with the Digital Twin – Part 2

*** Posting on behalf of Sundeep Sanghavi, Co-Founder and CEO, DataRPM***

In the previous blog, Sundeep shared his thoughts on the need to have digital twins in the smart and connected era. In this final part , he shares his thoughts on why the cognitive layer of the analytics should be smart enough to create a closed loop system where it can predict issues with assets, forecast relevant inventory needs, and place required parts orders while scheduling adequate resource time and finally intelligently take it to closure by self-raising service tickets.

 

It’s time to predict machine behavior to create solutions even before the problem arises #IIoT #M2M #IoT Click To TweetFor example, France- based Schneider Electric, is making its production process more efficient via analytics and modernizing the factory floor. As

For example, France- based Schneider Electric, is making its production process more efficient via analytics and modernizing the factory floor. As Greg Conary, senior vice president of strategy says “In the past, we did data mining after the fact, usually after the product left the factory. Today, we can have real-time analytics on the status of plants, which lets us respond faster to opportunities in the marketplace as they arise, as well as contributing to product quality and asset availability.”

Check out the article to learn how industrial companies are leveraging the powerful combination of ‘data and digital twin’ for intelligent automation and decision making.