Your plant is more prepared for machine learning than you realize

Your plant is more prepared for machine learning than you realize

f your plant or facility already operates with some level of reliability maintenance, you are probably ready to apply a machine learning algorithm to the asset condition data you’re collecting. That’s the main message delivered by Blair Fraser in his Jan. 22 Fluke Reliability webinar, “6 myths about machine learning that M&R pros must overcome.”…

Overcoming barriers to connected reliability: Is 2020 the year we make strides?

Overcoming barriers to connected reliability: Is 2020 the year we make strides?

2020 is widely expected to be a year of progress for maintenance teams against their connected reliability goals, as they increase adoption of Industrial Internet of Things (IIoT) systems. Why this year? In his December 2019 webinar with Fluke Reliability, technologist Oliver Sturrock explores some of the underlying conditions around technology adoption in maintenance operations…

6 myths about machine learning that M&R pros must overcome

6 myths about machine learning that M&R pros must overcome

For many asset-intensive businesses, conversations about adopting maintenance and reliability-focused AI or Machine Learning solutions are infused with widespread myths, illogical barriers, and a general sense of fear. You have likely overheard a conversation on the topic that ended with: “We aren’t ready for that.” For those looking to improve uptime and adopt more mature…