Quantifying the Impact of DataMind AI™ on Mining Site’s Operations

By Razor Labs 2 min read SHARE The move towards data-driven strategies in industrial maintenance marks a significant evolution in approaching equipment reliability and operational efficiency. Our team of experts has collected data from several selected sites where DataMind AI™ was deployed at the beginning of 2023. This blog post summarizes the average impact of […]

Insights from Mainstream 2023: Efficiency and Sensor Fusion Take Center Stage

by Razor Labs 3 min read SHARE The Mainstream Conference 2023 in Melbourne, Australia, emerged as a critical gathering for industry professionals, offering a window into the future of asset management. At the forefront of discussions were two pivotal themes: maximizing efficiency in the face of workforce challenges and the transformative potential of sensor fusion. […]

Strategic Insight: Demystifying AI Predictive Maintenance in Mining: Fact vs. Fiction

by Tomer Srulevich 1 min read SHARE Strategic Insight: Demystifying AI Predictive Maintenance in Mining: Fact vs. Fiction In his recent keynote, the CBO of Razor Labs, Tomer Srulevich, addressed some common misconceptions that prevent mining companies from translating their Predictive Maintenance programs into tangible value. Watch this video to look at real-world examples and […]

The Value of Early Detection: Preventing HPGR Gear Failure with Sensor Fusion

by Peter Caldwell 4 min read SHARE What are HPGR Machines? High-Pressure Grinding Rolls (HPGR) machines are commonly used in the mining industry for comminution, which is the process of reducing the size of ore particles. HPGRs use high pressure and roller rotation to crush the ore, producing a product that is finer and more […]

Webinar: Realizing the Full Potential of Predictive Maintenance Programs

by Michael Zolotov 4 min read SHARE Why do Predictive Maintenance Programs often fail to generate value for mining companies? Razor Labs has recently collaborated with Austmine,  the leading industry association for the Australian Mining Equipment, Technology, and Services (METS) sector for a webinar “Realizing the Full Potential of Predictive Maintenance Programs”. In this webinar, […]

Three Most Common Predictive Maintenance Myths in Mining Industry – Pt.3

by Michael Zolotov 4 min read SHARE Although the potential is immense, studies show that most Predictive Maintenance programs fail to drive real value for mining companies. In this blog, I will discuss three common myths about predictive maintenance and how mining companies can leverage AI sensor fusion to transform their predictive maintenance programs into […]

Three Most Common Predictive Maintenance Myths in Mining Industry – Pt.2

Common myths in predictive maintenance in mining part

by Michael Zolotov 4 min read SHARE Although the potential is immense, studies show that most Predictive Maintenance programs fail to drive real value for mining companies. In this blog, I will discuss three common myths about predictive maintenance and how mining companies can leverage AI sensor fusion to transform their predictive maintenance programs into […]

Three Most Common Predictive Maintenance Myths in Mining Industry – Pt.1

3 myths predictive maintenance in mining

by Michael Zolotov 4 min read SHARE Although the potential is immense, studies show that most Predictive Maintenance programs fail to drive real value for mining companies. In this blog, I will discuss three common myths about predictive maintenance and how mining companies can leverage AI sensor fusion to transform their predictive maintenance programs into […]

Reaching ESG and profitability goals with predictive maintenance

by Raz Roditi 4 min read SHARE Sustainable development has become a major focus for businesses in recent years, with the growing emphasis on environmental, social, and corporate governance (ESG) issues. In response, mining companies are committing to responsible business practices that prioritize ESG principles, with the International Council Mining & Metals (ICMM) developing a […]