{"id":1484,"date":"2022-09-08T03:52:48","date_gmt":"2022-09-08T07:52:48","guid":{"rendered":"https:\/\/mriomega.com\/?p=1484"},"modified":"2025-09-05T01:43:01","modified_gmt":"2025-09-05T05:43:01","slug":"how-ai-is-powering-the-next-phase-of-the-metals-industry","status":"publish","type":"post","link":"https:\/\/mriomega.com\/index.php\/blog\/how-ai-is-powering-the-next-phase-of-the-metals-industry\/","title":{"rendered":"How AI Is Powering the Next Phase of The Metals Industry"},"content":{"rendered":"
\"AI<\/figure>\n\n\n

<\/p>\n\n\n\n

The metals industry is essential to the development and advancement of the economy. It supports thousands of employments and supplies necessary raw materials to important manufacturing and construction industries, playing a crucial part in the industrial value chain. Although the COVID-19 pandemic increased demand and production irregularities, the sector quickly rebounded in 2021, and this trend is more likely to continue.<\/p>\n\n\n\n

The World Steel Association predicts that in 2022, the steel demand will\nrise by 1,855.4 Mt – 1,896.4 Mt, at an increase of 2.2% yearly.<\/p>\n\n\n\n

The metals industry must concurrently lower its carbon footprint &\nadopt decarbonization strategies to tackle the climate change threat because it\nis one of the primary sources of GHG emissions. According to the World Steel\nAssociation, 1.85 tons of carbon dioxide was released for every steel ton\nproduced in 2018, accounting for almost 8% of all carbon dioxide emissions\nworldwide.<\/p>\n\n\n\n

The metals industry has no choice but to look at technological and economically\nbeneficial ways to reduce carbon footprint and embrace more sustainable\nsolutions, considering government rules addressing climate change and rising\npublic interest in sustainability.<\/p>\n\n\n\n

What does this mean for the industry? The year 2022 will be the year the\nsector promotes the adoption of digitalization technologies to address the\nopportunities and difficulties since its projected demand to increase, and\nthere will be equal pressure to minimize its carbon footprint.<\/p>\n\n\n\n

Where AI can be most valuable for the metals industry<\/strong><\/h2>\n\n\n\n

The metal sector is transforming its business operations to the\nforefront of Industry 4.0. This industry is supported by technologies like the\nInternet of Things (IoT), cloud computing & AI\/ML, enabling the\nmanufacturers to make data-driven decisions immediately to use predictive\nmaintenance, manage processes, optimize assets, reduce downtime, and improve\nproduct quality. Even though the industry has been gathering data for some\ntime, it has not yet realized its potential for gaining insights that might\nlead to higher efficiency.<\/p>\n\n\n\n

Artificial Intelligence (AI) and Machine Learning (ML) are key enablers\nto speed up the benefits of Industry 4.0.<\/p>\n\n\n\n

They are crucial when working together to extract value from the massive\namounts of information in real time and boost operational performance. The\nthree most important areas where AI is now assisting the metals industry are\nasset and energy optimization. The immediate benefit of AI is helping\noperations engineers make data-driven decisions based on performing their\nactual processes and assets. Operators using AI can control the operation to\nactual performance based on prior arrangements. AI-powered digitalization\nassists metal firms in integrating sustainability into manufacturing processes\nas more and more of them commit to net-zero goals.<\/p>\n\n\n\n

And it is happening today. Leading metals companies worldwide use\nCanvass AI to increase quality, decrease costs, eliminate waste, and lower\ncarbon emissions. To estimate future production throughput, regulate production\nquality, reduce energy consumption, and reduce waste across all phases of steel\nproduction, including processing raw material, steelmaking, casting, and hot\nrolling, users use AI every day to unlock intelligence from the data.<\/p>\n\n\n\n

You might wonder why these metal firms have succeeded when Gartner predicts that 85% of AI efforts fail. It can reduce this to three common elements:<\/p>\n\n\n\n

Use an Industrial AI platform:<\/strong>\u00a0<\/h3>\n\n\n\n

Not all AI applications are suitable for every setting. And this is true in manufacturing environments. Industrial data has a higher noise level and is exponentially more complex because of its volume, velocity, and fluctuation. AI systems created for retail or banking environments cannot handle the requirements of an industrial context. Metals companies who have successfully used AI to extract value have instead relied on Industrial AI platforms created from the ground up with industrial problems in mind.\u00a0<\/p>\n\n\n\n

Empowering the Team: <\/strong><\/h3>\n\n\n\n

Many companies prefer assembling a data scientist team to increase their AI capacity. It can take years for this to materialize, putting the operational SMEs – i.e., the industrial engineers & operators – out of the picture. Successful companies that have been able to extract value from their data have provided their operational teams with AI so they can add their knowledge to interpret the data.<\/p>\n\n\n\n

Focusing on high ROI: <\/strong><\/h3>\n\n\n\n

Successful metal companies that have been able to extract value from AI have concentrated their attention on the processes that consume the most power and energy and have the higher operating and raw material costs. By doing this, they have increased line speed, improved quality, decreased scrap, and reduced emissions, which have justified their investments.<\/p>\n\n\n\n

AI-powered Future<\/strong><\/h2>\n\n\n\n

The metal industry is currently at a critical juncture. The sector must\nequally manufacture high-quality goods while keeping costs down, decarbonize\nquickly and progress toward its net-zero targets. Focusing on digital\ntransformation powered by AI will be highly beneficial for the metal\nindustry. <\/p>\n\n\n\n

According to the World Economic Forum, digitization will allow the\nmetals industry to generate $400 billion<\/strong> in revenue over the\nnext decade. Further, using AI to reach its net-zero goal is an intelligent\nbusiness move. According to McKinsey, 14% of the world\u2019s steel companies\u2019\npotential values are in danger if they do not reduce their environmental\nimpact. The time has come for the metals industry to use AI to change the\nindustry\u2019s future as these pressures increase.<\/p>\n","protected":false},"excerpt":{"rendered":"

The metals industry is essential to the development and advancement of the economy. It supports thousands of employments and supplies necessary raw materials to important manufacturing and construction industries, playing a crucial part in the industrial value chain. Although the COVID-19 pandemic increased demand and production irregularities, the sector quickly rebounded in 2021, and this…<\/p>\n","protected":false},"author":1,"featured_media":2434,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[589],"tags":[],"class_list":["post-1484","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/1484","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/comments?post=1484"}],"version-history":[{"count":5,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/1484\/revisions"}],"predecessor-version":[{"id":2336,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/1484\/revisions\/2336"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/media\/2434"}],"wp:attachment":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/media?parent=1484"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/categories?post=1484"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/tags?post=1484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}