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The National Association of Manufacturers (NAM) has released a first-of-its-kind report, “Working Smarter: How Manufacturers Are Using Artificial Intelligence,” detailing use cases for artificial intelligence in manufacturing and case studies of how manufacturers are already implementing AI technologies to strengthen America’s workforce, advance innovation and improve the quality of life for everyone. The report provides an overview of insights from leading manufacturers, including Johnson & Johnson, Schneider Electric, and Hitachi, on how AI can improve efficiency, product development, safety, predictive maintenance and supply chain logistics. The report also outlines a series of recommendations on how policymakers can help support the safe, responsible development of AI while promoting innovation and growth. Read my full report at Consilia Vektor: https://lnkd.in/gcDaHqAr

I was skimming through the MIT Technology Review on the prospects of AI in Core Manufacturing and here are some of the key takeaways. . . . The core manufacturing industry is a term used to describe the eight sectors that have a significant impact on the overall economic and industrial activities of a country. They are also called the core sectors because they represent the capital base of the economy and influence the performance of other industries. Here are the salient points addressed in the report: 1. AI systems are being utilized to create and simulate digital twins of machines like windmills to help generate relevant data for analytics that would improve efficiency, sustainability and Return on Investment. 2. AI is going to shrink factories but not jobs. In fact, “Human talent is at a premium right now, so everybody, every organization that I speak to right now, they’re all focused on cutting cost, not jobs,” says Ritu Jyoti, global AI research lead at market-intelligence firm IDC. 3. To remain competitive, core manufacturing industries will need to integrate AI into their existing systems. The benefits of doing so are manyfold: including but not limited to easier maintenance, scrap reduction, increased yield and a better understanding of demand and supply. The manufacturing industry generates unfathomable volumes of data about diverse modalities every minute. This is the reason why ‘companies are encouraged to tame their data, foster talent and AI-related skills, and allow workers on the ground to communicate the best ways to use AI’ — Hi, I'm om varshney, and I've dedicated myself to exploring and sharing the latest insights about AI. If you're interested in the AI landscape, please feel free to ask me for more insightful discussions. Let's drive the future of AI together! #artificialintelligence #predictivemaintenance #generativeai #theSpiritOfAi

ApexCore is an innovative, polymorphic AI application that can revolutionize your manufacturing process by automating tasks and applications. Here are three ways it could benefit your operations: 1. Quality Control: ApexCore's advanced machine learning capabilities enable real-time monitoring of production lines to detect defects or inconsistencies in products. This ensures high-quality output while reducing waste and rework costs. 2. Predictive Maintenance: With its predictive analytics feature, ApexCore can predict when machines require maintenance based on usage patterns, avoiding unplanned downtime and minimizing disruptions to production schedules. 3. Inventory Management: By analyzing sales trends and production rates, ApexCore helps you maintain optimal inventory levels, reducing overstocking and understocking situations, thereby improving efficiency and profitability. Experience the power of AI-driven manufacturing with ApexCore today! #ApexCore #AI #manufacturing #qualitycontrol #predictivemaintenance #inventorymanagement

📖 Adopting AI in manufacturing at speed and scale | McKinsey -By Henry Bristol, Enno de Boer, Dinu de Kroon, Rahul Shahani, and Federico Torti The McKinsey article "Adopting AI at Speed and Scale" makes a compelling case for why manufacturers can't afford to ignore AI any longer. Here's what stood out: ➸ Proven ROI: AI isn't just a buzzword. "Lighthouse" factories – early adopters of AI – are seeing major performance gains, from increased productivity and quality to reduced costs. This isn't theoretical; it's happening now. ➸ More Than Just Efficiency: While AI can definitely optimize existing processes, it's also unlocking new growth opportunities. Think predictive maintenance preventing costly downtime, or AI-powered design tools creating innovative products. ➸ The "Scaling Slump": The challenge isn't just finding AI use cases; it's scaling them across your operations. This is where many companies stumble, but the article offers strategies to overcome this hurdle. For Operations Managers New to AI: ➸ Start with the Problem: Don't get caught up in the tech. Focus on your biggest operational pain points. Could AI help solve them? ➸ Look for Quick Wins: Start small with pilot projects that can demonstrate value quickly. This will help build internal momentum for larger AI initiatives. ➸ Don't Go It Alone: Partner with AI experts, whether internal or external. You don't need to become a data scientist overnight, but you do need to understand the potential (and limitations) of AI. #FourthIndustrialRevolution #4IR #artificialintelligence ClearObject#machineintelligence #AI #manufacturing #generativeai #visionai #data https://lnkd.in/gv-gFymJ

AI and predictive maintenance has taken the maintenance industry by storm and changed the way we look at maintenance strategies. 🤩 By far, the biggest advantage of AI-powered maintenance is its predictive capabilities. 🤯 AI-enabled software can assess large volumes of data to identify potential problems before they get out of hand. With this, maintenance teams can quickly respond and reduce expensive downtime. 🤔 But is AI-powered maintenance really the future? 🤔 As the technology continues to evolve, it's likely that AI-powered maintenance will revolutionize the maintenance sector even further in the years to come. 🤩 This will enable maintenance teams to make more accurate and informed decisions, quicker and more efficient maintenance, leading to an overall better performance in the long run. 🤗 #AImaintenance #AI #PredictiveMaintenance

𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠! Thrilled to share this insightful article from MIT Technology Review, highlighting the incredible advancements propelling AI into the forefront of manufacturing. 𝐋𝐢𝐧𝐤: https://lnkd.in/dgpRUkfW As AI continues to evolve, its integration with manufacturing processes is revolutionizing the industry. From predictive maintenance to optimizing supply chains, AI-driven solutions are enhancing efficiency, productivity, and quality in unprecedented ways. 𝐊𝐞𝐲 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐚𝐫𝐭𝐢𝐜𝐥𝐞: 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞: Leveraging AI algorithms to anticipate equipment failures before they occur, minimizing downtime and maximizing productivity. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: AI-driven analytics enable real-time monitoring and optimization of supply chain processes, ensuring timely delivery and cost efficiency. 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲: AI facilitates seamless connectivity across manufacturing operations, enabling synchronized production, even across diverse geographical locations. The future of manufacturing is undeniably intertwined with AI, presenting boundless opportunities for innovation and growth. As professionals in this dynamic field, let's stay informed and inspired by these remarkable advancements shaping the industry's landscape. Read the full article to delve deeper into the transformative power of AI in manufacturing. What are your insights on how AI can further revolutionize manufacturing processes? Share your feedback in the comments below! #v2solutions #AI #manufacturing #innovation #technology #futureofwork #cio #itleaders #aileaders

World Economic Forum wrote together with Boston Consulting Group (BCG) the following guidebook: Harnessing the AI Revolution in Industrial Operations They emphasis the importance of unlocking the full potential of AI in industrial operations is crucial for boosting productivity, production flexibility, sustainability, and empowering the workforce. However, many companies are still struggling to integrate AI into their operations in a effective way. The guidebook outlines a systematic approach to designing AI strategies and implementing scalable AI applications. It emphasizes the importance of establishing long-term AI objectives and transformation principles, which are crucial at the beginning of the AI journey and set the foundation for successful AI integration in industrial operations. With step-by-step guidance, the white paper covers everything from assessing the current state to designing, engineering, implementing and scaling value-adding AI applications, and necessary foundations. Continuous AI reviews are essential to identify and integrate the latest AI innovations and opportunities. Regular updates ensure that companies remain competitive and can leverage new AI advancements effectively. The guidebook also zooms into the enabling components necessary for a successful AI journey, from both organizational and technological perspectives. And explaining the foundations for AI implementation in industrial operations at scale. If you're looking to harness the full potential of AI in industrial operations, our guidebook is a must-read: https://lnkd.in/dn7uDQta #AI #IndustrialOperations #AIIntegration #AIGuidebook #Innovation #Industry4_0 #TechTransformation #Manufacturing #AIRevolution #FutureOfWork #SustainableTech

AIQRATE Global Gen AI Adoption Report 2024 - Manufacturing Industry Segment The increase in demand for AI adoption and the application of AI models in manufacturing sectors are two of the primary driving forces behind the generative artificial intelligence in manufacturing market. Many industrial organizations employ GenAI because it has the ability to improve production processes, maximize workflow productivity, reduce costs, and improve customer experience. The Global Generative AI in Manufacturing Market is estimated to be valued around USD 6,397.4 million by 2033, up from USD 223.4 million in 2023, with a CAGR of 41.10% from 2024 to 2033. Read the full report .... consult@aiqrate.ai | www.aiqrate.ai #aiqrate #ai #genai #analytics #data #manufacturing #plant #report #operations

Real AI Insights in Industrial Manufacturing ---------------------------- "Is AI the Future Superhero of Manufacturing? 🤖" In a recent insightful discussion, Rick Oppedisano, CEO of Delta Bravo, unveiled how AI is revitalizing the manufacturing industry. By integrating AI technologies, factories are witnessing unprecedented improvements in efficiency, productivity, and safety. But it's not just about upgrading technology; it's a transformative merging of time-honored manufacturing practices with cutting-edge AI solutions. Ever wondered how AI can predict machine failures? Oppedisano detailed fascinating case studies where AI preemptively identified potential breakdowns, saving time and millions in potential lost revenue. This ability to anticipate issues before they escalate is revolutionizing how industries operate, ensuring smoother, uninterrupted production lines. Personal Experience: During a recent factory tour, I witnessed an AI system alert the team about a critical pressure drop in a steam valve – a problem invisible to the human eye yet potentially disastrous. Observing AI in action was a clear reminder of its role as a pivotal player in modern manufacturing. 👀 What are your thoughts on integrating AI in manufacturing? Have you seen effective applications of AI in your industry? 💡 Could your business benefit from predictive maintenance and enhanced safety measures? 📈 Are we looking at the new backbone of global manufacturing efficiency? Share your thoughts and experiences below! Let’s discuss how AI can further innovate and redefine traditional manufacturing landscapes. #AI #Manufacturing #IndustrialAI #Innovation #Technology #Productivity #DeltaBravo #RickOppedisano ---------------------------- Read more on Greensky Consulting

AI and predictive maintenance has taken the maintenance industry by storm and changed the way we look at maintenance strategies. 🤩 By far, the biggest advantage of AI-powered maintenance is its predictive capabilities. 🤯 AI-enabled software can assess large volumes of data to identify potential problems before they get out of hand. With this, maintenance teams can quickly respond and reduce expensive downtime. 🤔 But is AI-powered maintenance really the future? 🤔 As the technology continues to evolve, it's likely that AI-powered maintenance will revolutionize the maintenance sector even further in the years to come. 🤩 This will enable maintenance teams to make more accurate and informed decisions, quicker and more efficient maintenance, leading to an overall better performance in the long run. 🤗 #AImaintenance #AI #PredictiveMaintenance