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Our expert Michaela Thiel, Head of Sustainability at K枚rber shares insights about the technological possibilities of AI systems for achieving sustainability targets." /> <meta name="viewport" content="width=device-width, initial-scale=1" /> <meta name="robots" content="index,follow" /> <meta property="og:image" content="https://www.koerber-digital.com/typo3conf/ext/provider/Resources/Public/Frontend/Images/fallback.png" /> <meta property="og:image:url" content="https://www.koerber-digital.com/typo3conf/ext/provider/Resources/Public/Frontend/Images/fallback.png" /> <meta property="og:image:width" content="0" /> <meta property="og:image:height" content="0" /> <meta property="og:type" content="website" /> <meta property="og:url" content="https://www.koerber-digital.com/blog/ai-for-sustainable-production" /> <meta property="og:site_name" content="K枚rber Digital" /> <meta property="og:title" content="Harnessing AI for sustainable production" /> <meta property="og:description" content="Imagine a world where inefficient resource use and waste is a thing of the past, and carbon emissions are the exception rather than the norm. The crucial question is: how can we achieve this mammoth task without jeopardizing current economic foundations? The answer lies in leveraging all available technologies rapidly and consistently. The positive impact of AI on sustainability is already evident, and it's just the beginning. Our expert Michaela Thiel, Head of Sustainability at K枚rber shares insights about the technological possibilities of AI systems for achieving sustainability targets." /> <meta name="twitter:card" content="summary" /> <meta name="google" content="notranslate" /> <meta name="googlebot" content="index,follow" /> <meta name="title" content="Harnessing AI for sustainable production" /> <meta name="abstract" content="Imagine a world where inefficient resource use and waste is a thing of the past, and carbon emissions are the exception rather than the norm. The crucial question is: how can we achieve this mammoth task without jeopardizing current economic foundations? The answer lies in leveraging all available technologies rapidly and consistently. The positive impact of AI on sustainability is already evident, and it's just the beginning. 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/></picture><div class="caption"></div></div></section><a class="anchor" id="c3835"></a><div id="t3835" ><div class="spacing-t-m"><section class="headline "><h2 class="order-1"> Harnessing AI for sustainable production </h2></section><section class="content"><div class="outer copy-md"><p>At K枚rber, we contribute to sustainability with our technological power and expertise. The Business Area Digital exemplifies this commitment through solutions like InspectifAI, which uses Artificial Intelligence to revolutionize production processes while reducing negative environmental impact.</p><p>The positive impact of AI on sustainability is already evident, and it's just the beginning. In this article, I will look at the technological possibilities of AI systems for achieving sustainability targets.</p><p><strong>Embracing AI for sustainable transformation</strong></p><p>Imagine a world where inefficient resource use and waste is a thing of the past, and carbon emissions are the exception rather than the norm. This is not science fiction but a vision we should all strive for as we contemplate our collective future. The crucial question is: how can we achieve this mammoth task without jeopardizing current economic foundations? The answer lies in leveraging all available technologies rapidly and consistently.</p><p>Generative AI systems like ChatGPT offer a powerful tool for transforming production processes. These systems can effortlessly analyze vast amounts of data, identify inefficiencies, and optimize procedures autonomously. By embracing AI, we can not only optimize resource use and minimize waste but also set new standards for responsible production.</p><p>Let's look at the top 5 new possibilities of how AI can optimize production processes for sustainability.</p><p><strong>1. Predictive Maintenance:</strong></p><p>One of the key applications of AI in machine building is predictive maintenance. By analyzing data from sensors and historical maintenance records, AI can predict when machines are likely to fail and schedule maintenance proactively. This not only reduces downtime but also minimizes resource waste by preventing catastrophic failures and unnecessary repairs.</p><p><strong>2. Energy Optimization:</strong></p><p>AI algorithms can enhance the energy efficiency of machine construction processes and the operational phase of K枚rber's machines used by customers (Scope 3.11) by analyzing real-time data from sensors and adjusting parameters for maximum efficiency. This optimization can lead to significant reductions in energy consumption and carbon emissions without compromising productivity.</p><p><strong>3. Waste Reduction:</strong></p><p>Through advanced analytics, AI can identify patterns and anomalies in production processes that lead to waste generation. By optimizing workflows and minimizing defects, AI can help reduce material waste in machine building, thereby conserving resources and lowering negative environmental impact.</p><p><strong>4. Supply Chain Optimization:</strong></p><p>AI can optimize supply chains by predicting demand, optimizing inventory levels, and identifying the most sustainable suppliers. By reducing transportation distances and optimizing routes, AI can minimize the carbon footprint of the supply chain, contributing to overall sustainability activities.</p><p><strong>5. Design Optimization:</strong></p><p>AI-powered design tools can help engineers create more sustainable machine components and systems. By simulating various design configurations and materials, AI can identify the most resource-efficient and environmentally friendly options, leading to lighter, more durable, and energy-efficient machines.</p><p><strong>InspectifAI: a sustainable solution at K枚rber</strong></p><p>When it comes to our own efforts at K枚rber in this area, InspectifAI serves as a prime example. Unlike conventional inspection machines, this AI-based solution excels in versatility and precision in visually inspecting medications. This is of crucial importance regarding patient safety and at the same time prevents flawless medication from being unnecessarily discarded. Precise inspection significantly reduces the number of errors. This increases the quality of medication and significantly reduces waste. The technological innovation helps to ensure that high-quality medicines are produced without excessive consumption of resources, thus enabling the pharmaceutical industry to achieve more sustainable and efficient production processes. </p><p><strong>Let鈥檚 make it happen</strong></p><p>In conclusion, AI can be a powerful ally in the quest for sustainability. As we navigate the complexities of modern production, AI offers a guiding hand towards a future where sustainability and success go hand in hand. </p><p><a href="/blog">Check out our other blog posts</a> to deep dive into the world of AI!</p></div></section></div></div><a class="anchor" id="c3834"></a><div id="t3834" ><section id="c3834" class="quote spacing-t-s"><figure class="side-image round"><div class="image-container"><img src="/fileadmin/_processed_/7/4/csm_MichaelaThiel_neu_ret_5777f36f5d.jpg" width="200" height="200" alt="" loading="lazy" /></div></figure><blockquote><p class="quote-small">Article written by Michaela Thiel, Head of Sustainability at K枚rber AG</p></blockquote></section></div><section class="content-element ce-grid default spacing-t-m bg-transparent columns2"><a class="link-to-element" id="c3833"></a><div class="container"><h3 class="order-3"> Read more about... </h3><div class="row justify-content-center align-items-start"><div class="col-12 col-lg-6"><a class="anchor" id="c3832"></a><div id="t3832" ><img src="/fileadmin/_processed_/b/5/csm_Post_10-AI_to_Go_5x2-min_038d8927f5.png" width="1008" height="567" alt="" loading="lazy" /><h3 class="copy-md bold"> AIming for trust: The European AI Act </h3><div class="textbox"><p><span class="exampleContent">AI technology and the AI ecosystem are in their infancy which turns the object of regulation into a moving target as well as prone to over-regulation. </span></p><p><a href="/blog/the-european-ai-act" class="btn">Read more!</a></p></div></div></div><div class="col-12 col-lg-6"><a class="anchor" id="c3831"></a><div id="t3831" ><img src="/fileadmin/_processed_/3/3/csm_Post_01-AI_to_Go_5x2-min_5deff357bf.png" width="1200" height="676" alt="" loading="lazy" /><h3 class="copy-md bold"> Industry 5.0 vs. Industry 4.0 </h3><div class="textbox"><p><span class="exampleContent">Welcome to the future! Or is it already here? Advancements in technology are moving at an unprecedented pace, and it's hard to keep up with all the changes.</span></p><p><a href="/blog/industry-50-vs-industry-40-is-the-future-already-the-present" class="btn">Read more!</a></p></div></div></div></div></div></section><div class="backToTopButton clone o-none"><span><span class="title"> Back to top</span></span></div><footer class="pageFooter"></html><nav class="footerNavigation"><a href="https://www.koerber.com/" title="K枚rber AG" target="_blank" class="footer-logo"></a><ul class="legal"><li><a href="/imprint" title="Imprint"> Imprint </a></li><li><a href="/data-privacy-statement" title="Data Privacy Statement"> Data Privacy Statement </a></li></ul><ul class="social"><li><a class="linkedin" href="https://www.linkedin.com/company/koerberdigital/" target="_blank" title="LinkedIn"></a></li></ul><div class="navLanguages"><a class="active" href="#" hreflang="en-US">English</a><ul><li class=""><a href="/blog/ai-for-sustainable-production" hreflang="en-US">English</a></li></ul></div></nav><div class="copyright"><p class="copy-xs">© 2024 K枚rber Digital. 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