Companies and manufacturers that don’t have a clear strategy for implementing the Industrial Internet of Things may find business growth restricted in the years to come. Why? Because the Industrial Internet of Things is about to become a multi-trillion dollar opportunity. More
We celebrate 20 years on internet, here is the archived proof by waybackmachine the internet archiver... Both Eng and Swe versions. I remember making that with the beutiful yellow backdrop color... placed on the Apple server of a maintenance paper... http://web.archive.org/web/19990912234106/http://www.vtab.se:80/index_e.htm
The Industrial Internet of Things (IIoT) offers exciting possibilities for transforming industrial automation. Having the ability to capture data at the industrial edge—from the manufacturing shop floor to natural gas compression stations in the field—offers the ability to leverage Big Data analytics to optimize operations, streamline efficiency and generate insights that increase profitability and competitive advantage. So why aren’t we seeing more IIoT implementations?
A lot has been said and written about predictive analytics. Most of the attention focuses on applying forecasting techniques to the domains of marketing and security. More recently, however, the rise of machine generated data (e.g., M2M, Industrial Internet of Things, Industries 4.0, etc.) has opened a new playground for data scientists. Read more here
Lessons learned from Reliabilityweb.com’s Industrial Internet of Things (IIoT) Summit held at the Reliability Leadership Institute Fort Myers August 2-3, 2016 (Thanks to our friends at ThingWorx by PTC for supporting this event) 1) The Industrial Internet of Things is here now and the pace of adoption is increasing rapidly 2) Many Reliabilityweb.com solution providers do not have a strategy to leverage innovation resulting from new technology capabilities 3) Literally all business is at risk...
1) Solution providers must leverage the platforms provided to them to build their application on, so that they don't have to re-invent the wheel. 2) Companies must take the IIOT in small steps to leverage the benefits of quick solutions of the currently available solutions on the IIOT. 3) We must make sure to include people in various parts of the solution, otherwise, it will be a data-driven one.
IMC-2017 Panel Discussion Video - 39:45 by Mary Bunzel, Doug Cook, Sandra DiMatteo, Will Goetz, M. Mobeen Khan, John Murphy, Mike Poland, Heather Preu, Jagannath Rao Machine learning and artificial intelligence is progressing at a rapid pace. According the Bureau of Labor Statistics, over 60% of maintenance tasks will be "machine" assisted by 2022. Join industry thought leaders at IMC-2017 for a vibrant panel discussion about human machine collaboration to advance reliability and asset ...
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