How Industry 4.0 and IIoT drive a new World of Maintenance

Industrial IoT (IIoT) and Industry 4.0 strategies are bringing new opportunities to the well-known concepts of Condition Based and Predictive Maintenance.

//How Industry 4.0 and IIoT drive a new World of Maintenance

How Industry 4.0 and IIoT drive a new World of Maintenance

Industrial IoT (IIoT) and Industry 4.0 strategies are bringing new opportunities to the well-known concepts of Condition Based and Predictive Maintenance.

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Industrial IoT (IIoT) and Industry 4.0 strategies are bringing new opportunities to the well-known concepts of Condition Based and Predictive Maintenance. Join Martin Davis of DUNELM Associates and Jim Gavigan of Industrial Insight as they provide useful insights to revitalize your approaches to this topic.

Martin-Davis-HeadshotMartin Davis is managing partner of DUNELM Associates. He is a results-driven C-Level executive and business leader with extensive experience across manufacturing, consumer goods, food, automotive, and transportation industries, delivering value globally in large Fortune 100 corporations and privately-owned companies. He focuses on high-quality business outcomes which result in customer satisfaction and return on investment. Davis has driven Industry 4.0 / Operational Intelligence Strategy, as well as being CIO for 10+ diverse companies.

 

Jim-Gavigan-picJim Gavigan is the founder and President of Industrial Insight, Inc, a software consulting and integration firm based in Saint Augustine, Florida. Industrial Insight focuses on helping large industrial companies proactively use time-series data from their production and manufacturing systems for increased efficiency, reliability, productivity, and profitability. Gavigan has 24 years of experience in manufacturing. He has worked as a vibration analyst, controls engineer, sales engineer, technical consultant, strategic account manager, manufacturing intelligence consultant, and now as the “Chief Time-Series Data Storyteller” at Industrial Insight.

 

Original session held on July 10, 2019

2019-07-12T10:24:27-04:00July 11, 2019|Predictive maintenance|