{"id":9113,"date":"2025-09-22T08:11:00","date_gmt":"2025-09-22T12:11:00","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/?p=9113"},"modified":"2026-03-26T09:29:41","modified_gmt":"2026-03-26T13:29:41","slug":"the-manufacturer-spotlights-how-siemens-industrial-ai-accelerates-cnc-programming-from-model-to-machine","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/the-manufacturer-spotlights-how-siemens-industrial-ai-accelerates-cnc-programming-from-model-to-machine\/","title":{"rendered":"The Manufacturer Spotlights how Siemens Industrial AI Accelerates CNC Programming – from Model to Machine"},"content":{"rendered":"\n

For manufacturers, the race is on: those who harness AI effectively will set the pace in efficiency, quality, and sustainability, but the challenge is doing so while keeping human expertise at the core. As featured in The Manufacturer<\/a><\/em> \u2014 an online publication tailored to manufacturing innovation and technology \u2014 Siemens is helping leaders address one of the most pressing questions in modern industry: how can manufacturers harness artificial intelligence without losing the human expertise that keeps production moving?<\/p>\n\n\n\n

Rahul Garg, Vice President for Industrial Machinery at Siemens Digital Industries Software, frames it this way: \u201cAI in part manufacturing isn\u2019t about replacing people; it\u2019s about amplifying their expertise. Think of it as a copilot \u2014 taking on the heavy lifting so engineers and operators can focus on higher-value work.\u201d<\/em><\/p>\n\n\n\n

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Explore the full article on The Manufacturer<\/a><\/div>\n<\/div>\n\n\n\n

Just a few years ago, AI was seen as an emerging technology with untapped potential. Today, it has firmly established itself as a powerful driver of transformation in manufacturing. Factories generate vast amounts of data \u2014 from machines, processes, and people \u2014 and AI is unlocking that value, turning raw information into actionable insights and smarter decisions.<\/p>\n\n\n\n

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But unlike consumer apps, where an occasional misstep is acceptable, errors on the shop floor can mean broken tools, wasted materials, or safety risks. \u201cIndustrial-grade AI must be robust, reliable, and repeatable,\u201d<\/em> Garg warns. \u201cTrust is non-negotiable.\u201d<\/em><\/p>\n<\/div><\/div>\n\n\n\n

The Copilot Transformation<\/h2>\n\n\n\n

Inside Siemens NX CAM software, AI copilots are already changing the rules. CAM programming that once took hours can now be done in minutes. Algorithms detect chatter before it damages parts. Ergonomics analysis helps protect workers from repetitive strain.<\/p>\n\n\n\n

\u201cWhat makes copilots so powerful,\u201d says Garg, \u201cis their ability to capture expert knowledge and scale it across the organization. They ensure best practices live on \u2014 even as teams change.\u201d And the next leap is generative AI, which allows engineers to interact with machines in natural language. Suddenly, advanced systems become accessible to everyone, not just specialists.<\/p>\n\n\n\n

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\u201cGenerative AI lowers the barriers,\u201d<\/em> Garg explains. \u201cIt lets engineers speak to machines in their own language \u2014 democratizing advanced manufacturing and accelerating innovation<\/em>,” explains Garg.<\/p>\n<\/blockquote>\n\n\n\n

Why It Matters Now<\/h2>\n\n\n\n

This is about more than technology. It\u2019s about competitiveness, resilience, and sustainability. AI is fast becoming the connective tissue of modern manufacturing \u2014 linking design, engineering, and production into one intelligent system.<\/p>\n\n\n\n

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The benefits for leadership teams are clear:<\/strong><\/p>\n\n\n\n

Resilience<\/strong> \u2014 make operations more adaptable in the face of disruption<\/p>\n\n\n\n

Speed<\/strong> \u2014 reduce programming and setup times by up to 80%<\/p>\n\n\n\n

Quality<\/strong> \u2014 predict and prevent defects before they cause waste<\/p>\n\n\n\n

Workforce empowerment<\/strong> \u2014 scale expertise across teams and generations<\/p>\n\n\n\n

Sustainability<\/strong> \u2014 optimise processes to cut energy use and material waste<\/p>\n<\/div><\/div>\n\n\n\n

As Garg concludes: \u201cAI is not an add-on. It\u2019s becoming integral to how we manufacture, compete, and lead in the next generation of industry.\u201d<\/em><\/p>\n\n\n\n

Read the Full Article<\/h3>\n\n\n\n

Discover Siemens\u2019 full perspective \u2014 and explore real-world case studies \u2014 in The Manufacturer\u2019s<\/em> feature: Enhancing the Shop Floor with AI<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

For manufacturers, the race is on: those who harness AI effectively will set the pace in efficiency, quality, and sustainability, but the challenge is doing so while keeping human expertise at the core. As featured in The Manufacturer \u2014 an online publication tailored to manufacturing innovation and technology \u2014 Siemens is helping leaders address one of the most pressing questions in modern industry: how can manufacturers harness artificial intelligence without losing the human expertise that keeps production moving?<\/p>\n","protected":false},"author":85236,"featured_media":9114,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1],"tags":[],"industry":[],"product":[],"coauthors":[6141],"class_list":["post-9113","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/15\/2025\/09\/the-manufacturer-nx-cam-copilot.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/posts\/9113","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/users\/85236"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/comments?post=9113"}],"version-history":[{"count":5,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/posts\/9113\/revisions"}],"predecessor-version":[{"id":9418,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/posts\/9113\/revisions\/9418"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/media\/9114"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/media?parent=9113"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/categories?post=9113"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/tags?post=9113"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/industry?post=9113"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/product?post=9113"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/nx-manufacturing\/wp-json\/wp\/v2\/coauthors?post=9113"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}