Jorge H.’s Post

The global industrial AI market reached $43.6 billion in 2024 and is expected to grow at a CAGR of 23% to $153.9 billion by 2030. Industrial AI spending today only represents 0.1% of revenue, most manufacturers now have a CEO-driven AI strategy with several industrial AI focus areas emerging: industrial data management/architectures, AI for quality & inspection, edge AI, industrial copilots, and employee training and upskilling, along with the first trials of agentic AI. This shift turns manufacturing from rigid assembly lines into adaptive, data-driven operations that cut costs, boost quality, and empower workers. Overall, AI is unlocking huge ROI through predictive fixes, edge computing, and custom models, making industries safer and more efficient. What are your thoughts on rolling out edge AI or upskilling programs in operations? https://lnkd.in/eA298xXb IoT Analytics A #ai #manufacturing #iot #industrialai #ceo

🚀 Embrace the Power of #DigitalTwin & #AI in 2025! 🌐✨ At Future Digital Twin & AI USA 2025 in Houston, industry leaders revealed how Digital Twins are evolving from static dashboards into real-time decision engines that seamlessly interact with people, processes, and technology. 🤖💡 Imagine clicking a button and influencing IoT devices in the field—instantly—driven by AI-powered insights. That’s not the future, that’s right now. Edge computing, cloud infrastructure, and AI are creating live virtual replicas, reducing latency, increasing responsiveness, and enabling predictive capabilities at scale. 🌩️⚡ From manufacturing lines optimizing yield, to strawberry farms achieving 92% simulation accuracy in crop management, to aerospace teams augmenting inspectors—the possibilities are vast. But most organizations aren’t fully leveraging this AI + Digital Twin synergy. That gap is your competitive edge. 🚀 As generative AI transforms global standards, the edge-enabled Digital Twin ecosystem is primed for liftoff. 🌍🌌 Ready to Future-Proof Your Enterprise? Let’s connect. Explore how your team can: Unlock the full potential of Digital Twin + AI Gain an advantage with real-time, intelligent decision-making Scale faster than ever before Drop a comment or send me a message—let’s bring your enterprise into the future today. 🤝🔍 #FutureTech #Industry40 #EdgeComputing #AIInnovation #DigitalTransformation #IoT

🧩 Digital Twins: The Hidden Superpower of IT Transformation When people talk about IT, they often think of cloud, AI, or data. But there’s one quiet revolution happening that could redefine how industries operate: Digital Twins. 🔹 What is a Digital Twin? A digital twin is a virtual replica of a physical system — a machine, a factory, even an entire city — that updates in real-time using data from IoT sensors, AI models, and analytics. Think of it as a living mirror of the real world, but inside your computer. 🔹 Why It’s Game-Changing 1. Predict Problems Before They Happen – Imagine an aircraft engine that tells engineers when it’s about to fail weeks in advance. 2. Smart Manufacturing – Factories can simulate production changes virtually before applying them in real life, saving millions. 3. Urban Planning – Cities are already using digital twins to optimize traffic, energy, and infrastructure. 4. Healthcare – Doctors could one day test treatments on a patient’s digital twin before prescribing in reality. 🔹 The IT Perspective For IT professionals, this means: More demand for real-time data pipelines and IoT integration. Growing importance of edge computing to process data closer to where it’s generated. Opportunities in cybersecurity, since twins are only as safe as their networks. 🔹 The Future Ahead By 2030, digital twins won’t just be an “industry tool” — they’ll be part of every major IT strategy. Businesses that adopt them early will hold a competitive edge in efficiency, innovation, and sustainability. 💡 The big shift: IT will no longer just support operations — it will simulate and optimize them before they even exist. --- 👉 Do you think digital twins will become as common as cloud computing in the next decade?

🏠 𝐑𝐢𝐠𝐡 + 𝐒𝐲𝐧𝐚𝐩𝐭𝐢𝐜𝐬: 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐇𝐨𝐦𝐞𝐬 𝐰𝐢𝐭𝐡 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐚𝐭 𝐭𝐡𝐞 𝐄𝐝𝐠𝐞 Righ, a leader in distributed Agentic AI, is partnering with Synaptics Incorporated to power next-generation Smart Home AI applications. Together, they’re bringing live, on-device AI with RighValor and Astra SL1680, delivering: ➤ Privacy-First AI: All processing happens locally—no cloud required. ➤ Faster, Smarter Automation: Distributed intelligence reduces latency for real-time insights and actions. ➤ Personalized Experiences: Device and user recognition enable custom automation and access control. ➤ Cost-Efficient Operations: Lower infrastructure requirements and smarter resource usage increase ROI. “Righ was created to rethink how technology works in the home. With Synaptics, we’re proving AI can be intelligent, privacy-first, and cost-efficient, creating new revenue for partners.” – Righ 𝐑𝐞𝐚𝐝 𝐌𝐨𝐫𝐞 : https://lnkd.in/gm2ycP2z #EdgeAI #AgenticAI #SmartHome #IoT #DistributedAI #Righ #Synaptics #AIInnovation

🚀 AI, IoT & Digital Twins – The Future of Supply Chains in Asia & the Middle East 🌍 Supply chains in Asia and the Arab world are entering a new era. What used to be about moving goods from Point A to B has now become about visibility, intelligence, and resilience. 👉 Artificial Intelligence (AI) is transforming demand forecasting, real-time inventory management, and predictive logistics. 👉 Internet of Things (IoT) devices are enabling live tracking, improving transparency, and reducing risk across global routes. 👉 Digital Twins are allowing companies to simulate entire supply chains virtually—testing resilience, optimizing flows, and forecasting disruptions before they even happen. This tech trio is not just a trend—it’s a necessity in today’s volatile environment shaped by geopolitical shifts, trade diversification, and rising sustainability demands. 💡 The question is no longer “Should we adopt AI, IoT, and Digital Twins?” but “How fast can we implement them to stay competitive?” 📌 What’s your view? Is AI-driven forecasting the game changer? Will IoT deliver the visibility we always dreamed of? Or are Digital Twins the real backbone of future supply chains? Let’s discuss! 👇 --- #SupplyChain #Logistics #AI #ArtificialIntelligence #IoT #DigitalTwins #Industry40 #SupplyChainManagement #SCM #DigitalTransformation #Innovation #SmartLogistics #Resilience #Sustainability #AsiaBusiness #MiddleEast #FutureOfWork #Technology #BigData #Analytics #Operations #LinkedInGrowth

🌟 𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻𝘀: 𝗔 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗲𝗿 𝗶𝗻 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻? 🌟 Lately, I’ve been diving into the world of digital transformation, and one concept that really stands out is digital twins. Imagine having a virtual replica of a physical asset - whether it’s a jet engine, a factory machine, or even an entire supply chain - that mirrors real-time behavior, predicts issues, and optimizes performance. It’s not just about fixing problems faster - it’s about moving from reactive to proactive, powered by AI, IoT, and big data. 🚀 From what I’ve seen, companies like GE (Predix platform) and Siemens are already leveraging digital twins to: ✅ Reduce downtime by up to 50% ✅ Boost efficiency and reliability ✅ Simulate “what-if” scenarios to drive innovation That’s huge potential across industries, from manufacturing to healthcare. Full disclosure: I haven’t implemented digital twins myself (yet!) - just geeking out over the possibilities. But I’d love to hear from you: 💡 Have you worked with digital twins in your projects? ⚡ What challenges or wins have you experienced? ❓ Or if you’re still learning, what’s one burning question you’d ask the experts? Let’s spark a conversation - share your thoughts, resources, or stories in the comments! #DigitalTransformation #DigitalTwins #IIoT #Innovation #TechTrends

🌟 𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻𝘀: 𝗔 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗲𝗿 𝗶𝗻 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻? 🌟 Lately, I’ve been diving into the world of digital transformation, and one concept that really stands out is digital twins. Imagine having a virtual replica of a physical asset - whether it’s a jet engine, a factory machine, or even an entire supply chain - that mirrors real-time behavior, predicts issues, and optimizes performance. It’s not just about fixing problems faster - it’s about moving from reactive to proactive, powered by AI, IoT, and big data. 🚀 From what I’ve seen, companies like GE (Predix platform) and Siemens are already leveraging digital twins to: ✅ Reduce downtime by up to 50% ✅ Boost efficiency and reliability ✅ Simulate “what-if” scenarios to drive innovation That’s huge potential across industries, from manufacturing to healthcare. Full disclosure: I haven’t implemented digital twins myself (yet!) - just geeking out over the possibilities. But I’d love to hear from you: 💡 Have you worked with digital twins in your projects? ⚡ What challenges or wins have you experienced? ❓ Or if you’re still learning, what’s one burning question you’d ask the experts? Let’s spark a conversation - share your thoughts, resources, or stories in the comments! #DigitalTransformation #DigitalTwins #IIoT #Innovation #TechTrends

𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧: 𝐁𝐞𝐲𝐨𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬 Digital transformation in manufacturing isn’t just about technology it’s about people. • 𝐎𝐩𝐞𝐫𝐚𝐭𝐨𝐫𝐬 perform better when dashboards simplify their work. • 𝐌𝐚𝐧𝐚𝐠𝐞𝐫𝐬 feel assured when predictive maintenance prevents breakdowns. • 𝐋𝐞𝐚𝐝𝐞𝐫𝐬 make stronger decisions when data validates their strategy. At Techno Genesis, we’ve seen real impact when factories focus on: 1. Quick wins that prove value early. 2. Empowering teams so technology supports, not replaces, them. 3. Smart systems that make daily operations easier. Because the future of manufacturing isn’t just smart machines. It’s 𝐬𝐦𝐚𝐫𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐞𝐦𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐛𝐲 𝐬𝐦𝐚𝐫𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬. If your organization is exploring Industry 4.0 but struggling with adoption, let’s talk. Sometimes the missing piece isn’t more tech - it’s the human connection. #Industry40 #Industry4 #SmartManufacturing #DigitalTransformation #TechStrategy #IOT #AI #PredictiveMaintenance #ManufacturingInnovation #Technogenesis #ERPIntegration #CustomSoftware #ITConsulting

Manufacturing isn’t just going digital it’s becoming human-first. At Techno Genesis, we’ve seen real change when: Dashboards help operators work smarter Predictive tools give managers peace of mind Data empowers leadership decisions The future isn’t just about smart machines it’s about smart people using smart systems. #SmartManufacturing #Industry40 #DigitalTransformation #ManufacturingInnovation #TechWithPurpose #HumanCentricTech #SmartFactories #PredictiveMaintenance #FactorySuccess #TechEmpowerment #Technogenesis