Why 85% of Machine Learning Projects Fail
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 weaknesses in the way
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 process, but the data collection and
Digital Transformation: A One-Two Punch to Empower Employees and Protect Data
As the COVID-19 pandemic continues to impact business and the economy worldwide, companies in every industry are using a critical eye to prioritize their operations amidst shrinking budgets and a catalog of unknowns. This includes exploring automation technologies that can
Data readiness: ensuring a solid base for predictive operations and condition monitoring
Digital manufacturing is forecasted to bring out massive changes to the industrial world. Today, regardless of the maturity level of digitization projects in each company, the main motivation is staying competitive, boosting revenues, and enhancing profits, while reducing costs and
The OEM IIoT Blind Spot – The Advantage OEMs Often Miss
An IIoT Scotoma If you’re familiar with the term, you know that scotoma is typically referred to as a blind spot. Interesting to note about a scotoma is the idea that if you don’t believe it, you won’t see it. It’s
Pick solutions, not platforms: How to choose an Industrial IoT platform
“If it ain’t broke, don’t fix it.” That common phrase once defined manufacturing’s approach to optimization. But today, enterprises are painfully aware that smarter production lines and more efficient processes can save them millions in downtime and lost yield. So, plant managers-
What Enterprises are Looking for in IoT
The Internet of Things has been the next big thing for a while now. There is some debate over which sector has seen the biggest change – home, government or enterprise. I believe all signs point to the enterprise, specifically
Pragmatic Predictive Analytics through Pattern Analysis in Operational Data
One certainty is that manufacturing processes continue to get better at producing data-primarily due to rapid cost reductions and improvements in data collection, communication, and storage technologies. The challenge, however, is that the ability to exploit this data for meaningful