6 SEPTEMBER 2021Copyright © 2021 ValleyMedia Inc. All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher thereof.September - 2021, volume 03 - Issue 04 Published by ValleyMedia Inc. To subscribe to Metals & Mining ReviewVisit www.metalsminingreview.comManaging EditorSamantha Jones Editorial StaffJoe PhilipLaura PintoMatthew JacobMerlin WatsonDaniel HolmesLeah JaneVisualizerChris Lynn*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffEmail:sales@metalsminingreview.comeditor@metalsminingreview.commarketing@metalsminingreview.comSamantha Joneseditor@metalsminingreview.comA New Realm in Mining Safety EditorialThe massive shift to cleaner resources and green minerals has placed mining and mining supply chains at the center of the decarbonization puzzle. These major transformations come at a time when the focus on safety is stronger than ever in the mining landscape. The labor- and asset-intensive industry seeks new and innovative ways to enhance its environment, health and safety processes, and performance. A new world of safety, powered by cutting-edge technologies like Artificial Intelligence (AI), opens up a significant number of opportunities to improve asset performance, facilitate quality management, and enhance environmental and employee safety.Technologies like AI, IoT, computer vision, cloud, and edge computing are applied to traditional mining practices to ensure digitized safety processes on-site, managing different kinds of health and well-being risks, predicting high potential incidents, and forecasting fatigue risk levels. But to power these applications, it is necessary to build a database, feed it with the company's internal data, and enrich it with external information about weather, geolocation, and air pressure or information from social media. AI-based software collects relevant data and identifies the diverse data and its collection from both internal and external sources. The data gathered needs to be diverse enough to enable the prediction capabilities of AI applications to adapt to a variety of possible scenarios. Applications integrated with predictive analysis involve the rapid processing of real-time data that monitors the environment and notifies the supervisor of any anomalies. As technology continues to drive innovations and improve mining safety, mining companies need to stay ahead of the curve to establish their presence in the market. In this edition of Metals and Mining Review, we bring to you the story of some of the most promising Mining Safety Solution Providers. This edition also combines thought leadership articles from subject-matter experts and exclusive insights from CIOs and CXOs. We hope this edition will provide you with the right assistance in choosing the best mining safety solution provider based on your requirements.Let us know your thoughts!
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