WEBINAR: Performance Twins in Mining & Metals: How to Move Beyond Predictive Analytics
How mining and metals companies are going beyond predictive analytics to develop new operational efficiency standards.
Mining and metals companies often fail to see the return on digital projects and equipment reliability initiatives. Battling resistance to change and trying to demonstrate value of digital solutions often loses to status quo. With production equipment, the challenge is centered around extracting meaningful insights from years of good and bad data from historians, work history logs, and condition monitoring systems.
Join this exclusive webinar to learn how companies like BHP, Aluminium of Greece, and Gerdau are using performance twin solutions to safely reduce unnecessary costs and improve production efficiency without uprooting the culture, relying solely on historical data, or taking months to implement.
Secure your place for free and discover:
- How Digital Twin models should be built, how to scale and implement these models on assets and systems to create a twin
- Best practices for how to leverage these twins operationally to Predict, Prescribe and Forecast performance degradation as a part of your reliability work processes.
- How mining and metal companies like BHP, AoG, and Gerdau are scaling their digital twin initiatives to capture the full value of their asset performance manage solutions.
Introducing your webinar leader:
Dan Parker
Senior Director of Market Strategy
GE Digital
Dan is the Senior Director of Market Strategy for the Mining and Metals industries at GE Digital. With more than 15 years of experience in the development and commercialization of enterprise application software solutions, Dan focuses on the delivery of asset performance solutions that enable mining and metals organizations to drive safe and reliable operations while maximizing performance and lowering costs.