Real-world smart manufacturing deployments
Join us on Tuesday, September 29 at 11:00 AM EDT to learn how to deploy real-world smart manufacturing solutions that connect factory floor data with enterprise, cloud and big data systems.
A successful smart manufacturing deployment starts with IT/OT convergence
Join us to learn how Litmus can enable IT/OT convergence with an all-in-one data collection, analytics, management and integration platform for smart manufacturing. Learn how customers are leveraging the latest edge, cloud and big data technologies for advanced analytics and machine learning to improve operational uptime, performance and quality.
The need for an IT/OT data strategy is real
If you have an IT/OT data strategy, you need accurate and complete data to enable smart manufacturing use cases ranging from predictive maintenance to machine learning. Data connectivity at the edge drives real improvements, enables factory floor-to-cloud data intelligence, and can reduce unplanned outages by 50 percent, reduce maintenance costs by 20 percent, and increase asset productivity by 20 percent.
Meet The Speakers
The Litmus intelligent edge platform is purpose-built to rapidly connect to any industrial asset used for manufacturing, transportation, construction, oil and gas, energy and more. John Younes, Marc Dekker and Damian Smektala have unparalleled industry experience deploying edge-to-cloud solutions with customers. Hear the lessons they have learned and the successes they have seen in the market as they lead a practical, hands-on webinar that will give attendees the tools they need to successfully deploy a modern edge platform for smart manufacturing.
Original Air Date: Tuesday, September 29 at 11:00 AM EDT
WEBINAR: REAL-WORLD SMART MANUFACTURING DEPLOYMENTS
Register today and join us on Tuesday, September 29 at 11:00 AM EDT for a live and interactive webinar on how to deploy an edge-to-cloud solution for smart manufacturing that collects and integrates data with cloud and big data systems for advanced analytics and machine learning.