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Analytics and Other IoT Technologies for Predictive Maintenance: Trend or Myth

Brett Burger | Principal Solution Marketer, National Instruments
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Description:

Our newsfeeds aggregate a ton of content focused on IoT applications like predictive maintenance, every day. Some of these articles are supported by real products with real deployment history, some are more forward looking with no proof points in industry yet, and others are ideas generated by the “buzz machine”. Watch this webinar to learn how one of NI’s experts on IoT monitoring technology sorts topics like free sensors, edge computing, machine learning solving everything, and sensor-cloud connections into the categories of trend, hard trend, or myth.

Learning Takeaways

1.) Examples of, and considerations for, different analytics approaches in predictive maintenance
2.) Thoughts on adoption and viability of wireless sensors, edge computing, and cloud tech in predictive maintenance
3.) Better understanding of data needed for predictive maintenance programs

About the Presenter

Brett Burger is a principal solution marketer at National Instruments with 16 years of experience in the test and measurement industry. He has focused application knowledge of machine condition monitoring, smart grid, power quality, the Industrial IoT, sensors, and data acquisition.  Brett has a B.S. in Aerospace Engineering from Texas A&M University.

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About the Author

Brett Burger Principal Solution Marketer, National Instruments

Brett Burger is a principal solution marketer at National Instruments with 16 years of experience in the test and measurement industry. He has focused application knowledge of machine condition monitoring, smart grid, power quality, the Industrial IoT, sensors, and data acquisition.  Brett has a B.S. in Aerospace Engineering from Texas A&M University.