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. Sign up for our weekly IIoT/I4 Viewpoints newsletter.

Feb
14
2019
Ed O'Brien — Company and Product News

Observations from the 2019 ARC Industry Forum

The 2019 ARC Industry Forum was a great success with record attendance by both end users and suppliers.  This year’s event, the 23rd, included attendees from throughout the globe discussing digital transformation topics in asset-intensive and smart industries, cities, and municipalities. 
Feb
01
2019
Ed O'Brien — Industry Trends

The Rise of Mobility in EAM  

The use of a wide variety of mobile devices can expand the reach of mobility in EAM systems.  In addition, handheld smart devices have grown in capability alongside EAM and field service systems with technologies like GPS, GIS, RFID, and embedded cameras. 
Feb
01
2019
Florian Güldner — Company and Product News

Delivering Business Outcomes with Industrial IOT

Business models are changing in the age of IIoT. Many industrial enterprises are moving from large capital expenditures toward a "pay-as-you-go" model; commonly referred to as equipment-as-a-service (EaaS), or in some cases “Servitization”.
Jan
31
2019
Janice Abel — Industry Trends

Next GEN MES: Smart Factory of the Future is Now 

MES is the backbone for lower cost, higher quality and faster production for the Smart Factory of the future.  It is the future for newer more complex, innovative and more personalized products. 
Jan
29
2019
Guest Blogger: Alp Kucukelbir — Industry Trends

How to Select Machine Learning Models

Interpretable machine learning models provide insight into relationships between inputs and outputs. This enables them to not only produce predictions but also explain them.
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