Utilizing Machine Data to Avoid Failures
· Smart Manufacturing

Utilizing Machine Data to Avoid Failures

Predictive machining can be a complex subject, with most manufacturers assuming such use cases are far beyond their means, meant only for the future of manufacturing. The Data Science team from Machine Metrics has been working hard to identify and deploy predictive solutions at customer sites. Their work explains several different ways in which customers […]

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Why 85% of Machine Learning Projects Fail – How to Avoid This
· Artificial Intelligence & ML

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 weaknesses in the way it’s applied to projects. There are many predictable ways that ML projects fail, which can […]

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Deploying Analytics On The Shop Floor: How And Where To Start
· Analytics

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 transformation. This is a key step to think about Artificial Intelligence or other terms like Digital Twins and that […]

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Digital Transformation: A One-Two Punch to Empower Employees and Protect Data
· Connected Industry

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 protect and even future-proof essential operations in an environment of fewer people, social distancing and […]

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Data readiness: ensuring a solid base for predictive operations and condition monitoring
· Connected Industry

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 being agile. There are several ways through which an industry can engage in Industry 4.0, […]

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· Connected Industry

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 the believing that enables the seeing. We can build scotomas based on our belief […]

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Pick solutions, not platforms: How to choose an Industrial IoT platform
· Connected Industry

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- people in what traditionally is one of the more conservative roles –  are […]

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What Enterprises are Looking for in IoT
· Connected Industry

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 industrial customers, given the ability for IoT to solve business-related problems, improve performance and efficiency, […]

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Pragmatic Predictive Analytics through Pattern Analysis in Operational Data
· Predictive Analytics

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 operational benefits is not keeping pace. There is real potential to use manufacturing data to […]

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