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In this context , thanks to Artificial Intelligence , the way to analyze various situations and how to act in response to them has been accelerated . For this , it is important to have an advanced analytical tool capable of collecting all the necessary information and data to better optimize processes and the collaboration environment .
While each company has its own information collection system , it is crucial to manage and analyze data with technological help , turning them into valuable assets .
“ Companies that face these challenges well have successfully exceeded expectations , both from the point of view of productivity and the business itself ,” Ferrari indicates .
Better operations with digital tools
Ferrari also states that digital technology , Artificial Intelligence and Deep Learning “ allow us to act , make decisions , and seek to increase productivity , especially with a focus on optimizing the use of resources in real time and even predicting anomalies to maximize business .”
By using these comprehensive technological tools , companies can reduce maintenance inventory and corrective maintenance ( MRO ) costs , increase productivity after the use of intelligent predictive maintenance , increase operational reliability , reduce downtime , and achieve autonomous and automated scaling of solutions across mining plants .
Companies that face these challenges well have successfully exceeded expectations , both from the point of view of productivity and the business itself .
According to Ferrari , it is expected that , by next year , at least 50 % of companies will have digital engineering teams in their operations .
“ The challenge for the mining industry is to have experts in advanced analytics to optimize the operational excellence of its workforce . We believe that efforts should be made to integrate and complement existing market solutions with their own developments ,” he states .
Furthermore , it is necessary to consider the training and coaching of employees and operators within the company . For this , their physical presence at the plant will not be necessary , as training can be carried out through simulations . This way , delays due to accidents or incidents in operations are also not generated .
“ Today , digital twins and / or augmented reality , along with Artificial Intelligence , are solutions that allow for almost real situations and experiences , enabling operators to enter immersive reality regardless of where they are physically located , so it has already become a training methodology ,” points out Ferrari .
System with advanced analytics
But , after the benefits of technological tools and personnel training , it is essential to have a good advanced data analysis that allows creating a useful learning model for the company and thus predict certain behaviors and provide solutions to those who make operational decisions .
“ Mining customers aware that they have a large volume of data in their organizations , have created their own advanced data analytics areas , the so-called Digital Factories , where their mission is to develop advanced analytics solutions along with experts who help
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