Digital Transformation Viewpoints

Featured here are original and timely articles from ARC analysts and guest writers on topics such as Digitization, New Business Models, Internet of Things, Industry 4.0, Smart Cities, and Smart Manufacturing. We dive into technologies such as additive manufacturing, machine learning, asset performance management, device connectivity, IIoT architecture, cybersecurity, augmented reality, and more related to digitization and transformation of industries, infrastructure, and cities. Our goal is to provide readers with clear and concise analyses, opinions, and discussion of these trends, technologies, and services.

Jan
12
2016
— Industry Trends

First analytics roundup for 2016

I made the mistake of not working between Christmas and New Year.  Too much work piled up while I was away and I didn't get to blog my first weekly analytics round-up of 2016!  So here it is...
Jan
11
2016
Peter Reynolds — Industry Trends

Organization, Change and Digital Transformation

Managing people, work process, and technology is the collective responsibility of a manufacturing technical organization.  Much like other business segments, as time marches on, the manner in which people organize and interact with technology must inevitably change.  In particular, AR
Dec
30
2015
— Industry Trends

Top 5 Upstream Oil and Gas IIoT Blogs in 2015

As we close out what can be characterized as a “challenging” year for most upstream oil & gas companies, I wanted to highlight my top five IIoT blogs related to upstream and midstream oil & gas and make some closing thoughts on what may come in 2016.
Dec
29
2015
— Industry Trends

My most read posts of 2015

For anyone who's new to our IIoT blog - or to my analytics thread in particular - here's a quick recap of my 5 most read posts of 2015.  Just in case you really have nothing better to do between Christmas and New Year...
Dec
22
2015
— Industry Trends

Your last IIoT analytics wrap up for 2015

 

It's been a busy year, as both vendors and industrial companies start to adjust for analytics of Industrial IoT data.   2016 is likely to be even busier I suspect.  I expect to hear from more than a few companies:  "OK, we've got the data, now what...?"