Amidst the Industry 4.0 revolution, manufacturers are embracing cyber-physical systems and predictive analytics to drive astounding levels of innovation. In fact, across all industries, manufacturing is expected to generate 1/3 of the world’s investment in AI systems in 2019. This is mainly due to the competitive environment and the tremendous opportunity that exists across a wealth of use cases in this industry.
Manufacturers can use AI systems to design smart products, run smart factories, forecast demand, ensure quality, reduce production downtime, and manage supply chain risk. But one use case rises above the rest In terms of feasibility and impact – predictive maintenance. It addresses the age-old challenge of ensuring maximum availability of critical manufacturing systems, while simultaneously minimizing the cost of maintenance and repairs.
Watch this 60 minute webinar to learn:
- The variety of use cases for AI & ML in manufacturing
- Why you can’t wait any longer to roll out predictive maintenance
- How to use RapidMiner for predictive maintenance in your organization