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About this webinar
One of the major factors affecting performance and productivity in a cement plant is downtime. If a plant’s equipment shuts down, the plant has to shut down with it, costing time and money. AI-based Predictive Maintenance in cement plants will help forecast equipment failures and initiate timely maintenance to avoid unplanned downtime.
The enthusiasm for adopting AI + IoT runs deep across the Cement Industry. However, fewer businesses are obtaining a comprehensive ROI from their implementation regime. Therefore, it is essential to identify the top factors that prevent organisations from maximising the ROI of their AI + IoT implementation programme.
Key Learning Objectives:
- Top factors that impact ROI and scalability of an AI+IoT solution in the cement industry.
- Key metrics to consider while implementing an AI-IoT solution.
- Improving operational excellence with AI+IoT.
- Empowering maintenance & reliability teams to use new technology to maximise efficiency.
- Use cases and success stories across different critical applications cement industry with AI + IoT.

Nanoprecise Sci Corp
Nanoprecise Sci Corp is an automated AI-based predictive maintenance solution provider that facilitates early detection of even small changes in machine operations, well before they impact production. Nanoprecise specialises in the implementation of AI and IIoT technology for predictive asset maintenance and reducing the carbon footprint of manufacturing plants.
