Innovation: not a single recipe but multiple needed ingredients
Innovation initiatives often fail because of ambiguous goals and inconsistent support from the entire organization. Only a strong sponsorship of innovation by CEO can drive support and consensus for the innovation effort, starting from executives. A…
The Fallacy of an IoT Silver Bullet
Does the Internet of Things (IoT) provide a Silver Bullet for a Smart Industrial Environment?……Spoiler Alert: No, it doesn’t. Introduction The promise of the Internet of Things (IoT) is wide-ranging and, in essence, seemingly endless. Whether…
Picking a path: build versus buy
Every organization in our digital world has to determine whether it is better to buy commercial off-the-shelf (COTS) software or build software that directly meets their needs. For over 20 years, the argument has strongly favored…
Building a Remote Monitoring Service to Boost Revenue
If you’re an OEM and pursuing the Internet of Things (IoT), one of your biggest opportunities is to offer an IoT service that extends the value of the equipment you sell. A remote monitoring service gives…
More Interoperability in the IIoT
Why the manufacturing industry needs communication standardsThe digital transformation has been underway on factory floors for some time now. As digital technologies emerges as a key factor for remaining competitive, the need for change gains focus.…
Digital Transformation Case Studies
The manufacturing industry has been adopting next-gen technologies such as AI (artificial intelligence), advanced data analytics, predictive maintenance, automation, robotics, and more for improved productivity and enhanced safety on factory floors. Cutting-edge technologies can hold the…
Industry 4.0 and Open Innovation
One buzzwords nowadays is “4th Industrial Revolution”. Let’s ask ourselves: What are we talking about when we say “4th Industrial Revolution”? For sure, we are talking about a huge potential of innovation in Industry 4.0. Numerous studies…
Why 85% of Machine Learning Projects Fail – How to Avoid This
According to Gartner, 85% of Machine Learning (ML) projects fail. Worse yet, the research company predicts that this trend will continue through 2022. Does this point to some weakness in ML itself? No, it points to…
Deploying Analytics On The Shop Floor: How And Where To Start
Industrial Digital Transformation is happening, but the reality is that most companies are handling data on paper. To think about analytics on the shop floor, one of the first things to be done is to automate not only the…
Benefits of Industrial Equipment Monitoring
OEMS have the power to create new revenue streams and extend new services to customers by using IoT to monitor their equipment. Insights can lead to better parts and products, and provide an advantage over competitive…