I have been working to learn more on machine learning. Aside from the Microsoft technologies, which are very nice, I see a lot going on with TensorFlow. Here is a quick overview video I found. TensorFlow in 5 Minutes I just want to start off by saying thank you to every single one...Continue Reading
The basic premise of the industry’s offering is this: Hidden in that huge mass of enterprise data are latent patterns. If only you could interpret your data properly, like an explorer deciphering an ancient scroll, you’d be able to unearth these precious business secrets. Specialist analytic software tools are needed to crack the code. The...Continue Reading
I recently read a post titled “Are Manufacturers Too Slow in Adopting New Technology ” from Rockwell Automation. The article references a study released last month from BCG titled “Sprinting to Value in Industry 4.0“. In the BCG Study, I noted the following findings: “Industry 4.0 is a priority, but not an imperative.” Rates of transformation vary across...Continue Reading
If your plant is not already reducing waste, identifying bottlenecks, and coordinating data across the corporation, then you are behind the curve and playing catch up.
Doing a little research this morning on machine learning. I came across an older video from Scott Hanselman on machine learning as applied to personal IoT devices. Great stuff, and I am interested in getting some manufacturing data to feed into ML to see if we can use M-L to pro actively monitor processes and...Continue Reading
Manufacturing Analytics Strategies, Metrics That Matter & IIoT – Matt Littlefield Challenges to IIoT implementation are funding and building a business case, not security or executive support. It’s difficult to predict the benefit without having the tools, and difficult to get the tools without proving the benefit. Surveyed adopters show their top four current opportunities...Continue Reading