PROGRAM OVERVIEW
In mining, a massive amount of data is collected from many equipment and machines working in the sites that are much more than ever before. These data can potentially make excellent opportunities for mining innovation to find new solutions for business problems through digital transformation (DT) in this industry.
This Program provide practical help for managers, supervisors, operators and research and development teams to identify where and how to apply advanced data analytics in their enterprises. The use of advanced data analytics can support their goals of improving safety, energy efficiency, productivity, and reducing the associated costs of maintaining their mining operations.
This program is aimed at providing mining executives with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytic solutions. In addition, the program will provide the next generation of miners – undergraduate and graduate students of IT and mining engineering – with an understanding of data analytics applied to the mining industry. we will provide a clear, enterprise-level view of where and how Advanced Data Analytics (ADA) can best be applied. In particular, we highlight the potential to interconnect activities in the mining enterprise better. We explore the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of a creating a Digital Mine with much-enhanced capabilities for modeling, simulation and the use of digital twins – in line with leading “digital” industries like automotive and aerospace.
KEY BENEFITS
The Program is aimed at providing:
- Identify where and how to apply advanced data analytics to improve energy efficiency, productivity, and reduce operations’ maintenance costs;
- Industry executives with an understanding of the business value and applicability of different analytic approaches;
- Data analytics leads with a business framework in which to assess the value, cost, and risk of potential analytic solutions as well
WHO SHOULD ATTEND THIS PROGRAM
- Technology Transformation
- Business Management
- supply chain and logistics management
- Mining Engineers