10 Big Data Predictions for Automation and Control in 2017: Page 2 of 2

This year will provide increasing clarity and direction on Big Data technologies guiding the Industrial Internet of Things.

deploying these solutions as easy as possible for the end user. The goal is to provide an integrated set of software tools that do enable engineers to “self-service” their own needs when it comes to developing systems, or connecting machines to cloud-based systems. And, of course, everyone agrees that privacy and security are both major issues that needed to be addressed.

One Big Data prediction for 2017 almost guaranteed to come true is that companies will be dealing with more data than ever before.  But in the end, the promise of the Industrial Internet of Things has really been all about increasing productivity. Just remember all those initial projections about this technology about “ushering in the fourth Industrial Revolution.”

With business and consumer confidence on the rise, and economies around the world starved for higher growth rates, many feel that effective capital investment and resulting productivity gains will be important metrics to track. And this certainly represents an opportunity for the automation control industry.

The research company IDC is predicting that “by 2020, organizations able to analyze all relevant data and deliver actionable information will achieve an extra $430 billion in productivity benefits over their less analytically oriented peers.”

Relevant and actionable information is definitely the key, and how we’ll measure all of the predictions about the emergence of the IIoT. But more importantly, these trends are pointing to shifts in connectivity solutions that are beginning to play out this year. 


I see a big problem in the future with all of that data. Just imagine millions of billions of terabytes of data, somehow possibly stored someplace. How would it be organized and how would it ever be analyzed. It would be more like the individual grains of sand along the ocean. so while some are touting how useful it would be they seldom are able to say more than that they will be happy to sell the software to attempt to possibly make something out of it, maybe. 500 word limit STINKS!!!!!

One big question is where are all of those millions of billions of gigabytes of data going to be stored? AND, what is going to provide the funding needed to pay for the processing of that data in the hopes of learning anything of value? Who is going to provide the artificial intelligence to do the analysis of this data, and where will the funding for that effort come from? Who will understand the process producing the data well enough to have the insight to know where to look for value?

Has anyone considered that restricting the length of comments is aimed at those with very short attention spans and the inability to focus for more than a few seconds. Most good engineers solve problems through extensive focus on analysis of the possible solutions. A short attention span is not part of good engineering.

Add new comment

By submitting this form, you accept the Mollom privacy policy.