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Artificial Intelligence (AI) is revolutionizing the manufacturing and supply chain logistics industries, playing a crucial role in their digital transformation journey. Many thanks to Korbinian Lehner, Senior Client Executive at Dell Technologies, who shared his valuable insights on how AI is driving innovation in these sectors at the recent Smart Manufacturing and IoT Summit in Berlin. https://hubs.ly/Q02CZt2N0 Stay tuned for more updates on how AI is shaping the future of different industries! #AI #SmartManufacturing #IoT #SupplyChainLogistics #DigitalTransformation #Innovation #BerlinSummit 🚀

Excited to see my first Business Journals Leadership Trust piece go live! #Industry40 has evolved over a decade, emphasizing cyber-physical systems, M2M, and IoT. While recent investments have boosted productivity, many manufacturers still operate in a "3.5" model. The missing link? #AI. Its applications in real-time production scheduling and quality control optimize efficiency and enable strategic focus. The future of #manufacturing is here, and building an AI-savvy workforce is pivotal to unlocking its full potential. Check out the full piece here: https://lnkd.in/gnna5G9R

Digital Twins Innovating Smart Product Development In the digitization age, there are several evolving technologies like Cloud computing, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Digital Twin (DT), and many more, which are developed and implemented in product development and design. Among all these emerging technologies, DT is one of the most versatile technologies utilized in many industries, specifically in the manufacturing industry, to monitor the execution, optimize the growth, simulate the output, and predict the probable errors. Also, DT plays many roles in the product development lifecycle, from manufacturing to designing, using, delivering, and end-of-life. DT can also provide an efficient solution for future product development, design, and innovation, with the developing demands of specific products and the utilization of Industry 4.0. https://lnkd.in/ekPr_5dN

Digital Twins Innovating Smart Product Development In the digitization age, there are several evolving technologies like Cloud computing, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Digital Twin (DT), and many more, which are developed and implemented in product development and design. Among all these emerging technologies, DT is one of the most versatile technologies utilized in many industries, specifically in the manufacturing industry, to monitor the execution, optimize the growth, simulate the output, and predict the probable errors. Also, DT plays many roles in the product development lifecycle, from manufacturing to designing, using, delivering, and end-of-life. DT can also provide an efficient solution for future product development, design, and innovation, with the developing demands of specific products and the utilization of Industry 4.0. https://lnkd.in/dRRaiNNx

When organizations develop a new product, revamp their supply chains, or want more visibility into their operations, disrupting existing processes and systems to experiment can be daunting, risky, and costly. They can now mitigate these risks with a digital twin, which has emerged as a feasible solution due to the rise of the Internet of Things (IoT), sensors, edge computing, cloud technology, wireless communications, and data. #pyropswms #warehousemanagement #supplychain #supplychainmanagement #supplychainconsulting #supplychainexperts #warehousemanager

弊社では、AI をプラットフォームの中に組み込み、AI の効能をさまざまなビジネスシーンで利用可能にしています。特に、アセマネ分野（EAM）の領域では、設備が発するデータや点検履歴など構造、非構造の区別なくあらゆるデータを活用して、より高次元の信頼性確保を実現します。以下は、最近 IFS が発行した記事なのですが AI を用いてどのように信頼性を向上するかについて述べています（ごめんなさい、英語です）。 ーーーーーーーーーーーーーーーーーーーーーーーーーーーー 多くの企業では、IoTデバイスなどから膨大なデータが生成されていますが、サイロ化された業務データへのアクセスは困難で、リアルタイムでは活用しにくいのが現状です。 当社の新しい電子書籍では、AIで運用資産データをリアルタイムの#AssetManagementインテリジェンスに変換する方法をご紹介しています。詳細はこちらから：https://ifs.link/dxREMS Most businesses have vast amounts of data generated from IoT devices and other sources across the enterprise—data that helps inform what happened, what is happening, and what will happen. However, since operational data is often siloed, access is difficult, time-consuming, and rarely done in real-time. Fortunately, artificial intelligence (#AI) synthesizes structured and unstructured data to extract meaningful new insights and patterns. Learn how to convert operational asset data into real-time #AssetManagement intelligence in our new eBook. Get your copy to learn the full benefits of an AI-assisted EAM data model https://ifs.link/ydZ8ol

Omdia Shared the Report By 2030, machines will dominate global network traffic consumption. This bold prediction is supported by numerous indicators suggesting that machines involved in creating, downloading, and uploading videos will drive the next surge in data traffic. Some interesting reflections on their views: 1. Growth Rate: Data traffic is expected to grow at a CAGR of 20% from 2023 to 2030, stabilizing into a more "stable" pattern—yet still doubling every 3.6 years! 2. Changing Landscape: By 2030, machines or AI will generate 64% of network data traffic, marking a dramatic shift in the data mix. 3. Complex AI Applications: This isn’t just about low-data IoT devices tracking locations. We’re looking at upstream videos, image analysis, AI-generated entertainment, and XR B2B videos. 4. Direction Shift: Initially, data will primarily flow upstream (synthetic video/image, site to edge or cloud) for analysis. Later, significant data volumes will flow downstream (edge or cloud to site) for consumption. 5. Unpredictable Patterns: Our understanding of the traffic patterns generated by these AI applications is still developing. It’s probably too early to tell, but they appear to be increasingly unpredictable. 6. Lower latency: With many AI applications related to XR/immersive media or synthetic videos, there will be a heightened demand for quicker responses (lower latency) compared to today's apps. 7. Tiered Infrastructure: A tiered network infrastructure will become critical. Developing a strategy to handle processing across devices, edge, cloud, and the underlying Telco network is essential. 8. Changing Metrics: KPIs and SLAs for measuring app and network performance will undergo significant changes. While today's metrics focus on user throughput and consumer video for instance, we will need new paradigms to evaluate AI media/synthtetic video performance. Bonus - Processing Dilemma: A major question today is how much processing will occur on the device itself. This will depend on our ability to develop AI models that can efficiently run on these devices. https://lnkd.in/dMNrSfQZ

Embark on a journey to a world where technology not only operates in the background but also interacts, evolves, and collaborates with us. Welcome to the vibrant era of the Fourth Industrial Revolution, where technologies are not just tools but partners in shaping our industrial future. To learn more, check out our blog: https://hubs.la/Q02qrn6N0 #Industry40 #AI #machinelearning #IoT #industrialautomation

𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐀𝐈: 4 𝐒𝐭𝐞𝐩𝐬 𝐭𝐨 𝐁𝐨𝐨𝐬𝐭 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐚𝐧𝐝 𝐏𝐫𝐨𝐟𝐢𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 In today’s competitive manufacturing landscape, leveraging AI is key to staying ahead. At Pronix Inc., we empower businesses to revolutionize their manufacturing processes with cutting-edge AI-driven solutions. 𝐇𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰 𝐰𝐞 𝐦𝐚𝐤𝐞 𝐚 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐒𝐩𝐨𝐭 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐆𝐚𝐩𝐬: Identify inefficiencies and bottlenecks that hinder productivity and quality. 𝐀𝐈 𝐟𝐨𝐫 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 & 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: Implement predictive maintenance and real-time quality control to ensure smooth operations. 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Use machine learning to optimize production parameters and enhance efficiency. 𝐄𝐧𝐬𝐮𝐫𝐞 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 & 𝐈𝐧𝐜𝐫𝐞𝐚𝐬𝐞 𝐏𝐫𝐨𝐟𝐢𝐭𝐬: Achieve regulatory compliance while boosting profitability through smarter, data-driven decision-making. Are you ready to unlock new growth opportunities and optimize your operations? Partner with Pronix Inc. to bring AI-powered solutions that enhance productivity, quality, and profitability. Contact us today and take your business to the next level! #ai #manufacturing #innovation #processoptimization #qualitycontrol #pronix #machinelearning #azure #iot #databricks #businessgrowth