Register Here To View: Understanding the New Age of Predictive Maintenance: AI, Machine Learning, and Predictive Analytics
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The whole world is being transformed thanks to technological advancements in artificial intelligence, machine learning, and predictive analytics. With the promise of Industry 4.0, and its application in everything from health care, movie ratings, and fraud protection – to name but a few – the world will never be the same. And with the availability of wireless sensors, fast networks, and massive storage, condition monitoring, and especially vibration analysis, will never be the same. There are giant commercial enterprises and small silicon-valley startups that have identified this opportunity, and industrial organizations that are finally waking up to the opportunity of predictive maintenance.
The goal of this presentation is to demystify what AI, machine learning, and predictive analytics are and how they work. I will then turn the focus onto vibration analysis and discuss some of the unique challenges.
Everyone involved with reliability improvement and condition monitoring must understand how this technology works, what the future looks like, how their careers may be affected, and how they can avoid wasting significant investments in poorly designed systems.
About the Presenter:
Jason Tranter is the founder and CEO of Mobius Institute. Jason is the author of the majority of the Mobius Institute training courses and e-learning products covering reliability improvement, condition monitoring, and precision maintenance topics. Over 45,000 people have been formally trained in these courses, and many thousands more have been educated via the e-learning courses. Plus, thousands have read articles, attended conference presentations, and watched videos and webinars on many sites, including mobiusconnect.com, cbmconnect.com, reliabilityconnect.com, and YouTube (over 1.3 million views).