Featured in International Mining: Readi deployed by Newcrest, using ML to predict fatigue

We are thrilled to be featured in International Mining’s latest article, highlighting the deployment of our predictive fatigue management technology, Readi, by Newcrest Mining at their Lihir gold mine in Papua New Guinea. Newcrest joins the growing number of leading mining companies adopting Readi, our Machine Learning fatigue technology based on the scientifically-validated biomathematical model, SAFTE™.

International Mining’s article describes how Readi both acts as a system of record for operational fatigue data and serves as a daily tool for supervisor decision-making. Readi uses Machine Learning to calculate a unique and personalized fatigue prediction for every operator, for each hour in every shift. These hour-by-hour fatigue predictions are provided to supervisors and operators via mobile notifications. Wearables are not required, but can optionally be used to further enhance fatigue awareness among operators.

We are grateful for the opportunity to be featured in International Mining and for the recognition of the impact Readi has on the safety and productivity of mines that have deployed the technology. We are committed to supporting the mission of our customers, like Newcrest, to prioritize health and safety in their operations. Read the full text of International Mining’s article here.

 

insight-insights-mining-blog-cta

Related Posts

  • Leading vs Lagging Indicators in Health and Safety: What They Are, Why They Matter, and How to Use Both
    Understanding leading vs lagging indicators is essential for any organization that wants to improve health and safety...
  • How to Implement a Successful Fatigue Risk Management Change in Your Organization
    Fatigue risk management is not just a safety initiative. In safety-sensitive industries, it is an operational change effort that...
  • AI in Occupational Health: The Current and Future Landscape for Safety-Sensitive Industries
    AI in occupational health is moving from pilot projects and isolated tools into mainstream occupational health and safety...