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Your Upcoming Webinar Lineup from IndustryWeek

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Upcoming Webinars from IndustryWeek


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Optimizing Connected, Resilient Supply Chains in 2024
 

Optimizing Connected, Resilient Supply Chains in 2024
Tuesday, January 30 at 11:00 AM ET

Supply chain disruptions put revenue at risk, but with the right technology your organization can build a connected supply chain with the insight and confidence to adapt quickly.

Drawing from Deloitte's 2024 Manufacturing Industry Outlook, this webinar will share the growing importance of adopting digital tools for enhanced supply chain transparency, and exactly what technologies are reshaping the manufacturing landscape, such as digital twins, smart contracts, generative AI, and more.

 

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How to Build a Predictive Maintenance Program
 

How to Build a Predictive Maintenance Program
Wednesday, January 31 at 11:00 AM ET

How do you improve asset reliability through predictive maintenance? How do you go from fantasy to reality? How do you set up a program that delivers on expectations?

In this webinar, hear from Prometheus Group user LSB Industries and what Director of Operations Brian Wolf learned from launching a successful asset performance management (APM) program. Attend and learn about key considerations when implementing APM, what you should look for when exploring your software options, and best practices you can leverage for your predictive maintenance journey.

 

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Future-Proofing Your Business with Smart Manufacturing
 

Future-Proofing Your Business with Smart Manufacturing
Tuesday, February 6 at 2:00 PM ET

Low-code and no-code tools let production experts design apps to drive operational excellence without a computer science background. While lean and Six Sigma toolsets have served manufacturers well in the pursuit of continuous improvement, further quality improvements, cost reductions and capacity optimization can be achieved with low-code tools.

Attend this webinar and you will learn how cloud technologies combined with a low-code application simplify digital transformation by integrating machine learning insights into production workflows.

 

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