How Digital Twins Are Transforming Industries with AI

JIVA transforms fragmented operational data into a dynamic, intelligent supply chain digital twin, seamlessly integrating IoT sensors, enterprise systems, and industrial assets to create a real-time, high-fidelity model of operations.    By combining digital twin precision with Generative AI, JIVA identifies anomalies, forecasts asset degradation, and simulates complex “what-if” scenarios. Its natural language interfaces empower everyone from shop floor operators to strategic planners to accelerate decision-making and collaboration.    With immersive visualizations, contextual summaries, and knowledge graph–driven security, JIVA minimizes blind spots and ensures scalability across hybrid cloud and legacy systems.    The impact: accelerated throughput, reduced lead times, enhanced compliance, and resilient global supply networks. Build adaptive supply chains. Operationalize intelligence. Decide at the speed of business.   👉 For more information, reach out to Sunil Kumar Find out more here: https://jktech.com/jiva/   #JKTech #JKTechUS #JKTechUK #JIVA #SupplyChain #DigitalTwin #GenerativeAI #PredictiveAnalytics #IntelligentAutomation #ResilientOperations #ManufacturingAI #RealTimeDecisioning

🚀 Excited to dive deeper into one of the most transformative technologies of Industry 4.0 – Digital Twins! 🌐✨ A Digital Twin is a virtual replica 🪞 of a real-world system — whether it’s a car 🚗, a hospital 🏥, or even an entire smart city 🏙️. 🔧 How it works: 📡 Sensors on physical objects feed real-time data 💻 The virtual replica mirrors behavior & performance 🔍 Enables monitoring, predictions, and "what-if" simulations 🔄 Creates a feedback loop to continuously improve the real system 🌟 Why it matters? 🏭 Manufacturing: Detect failures early & optimize production 🏥 Healthcare: Virtual patient models for personalized treatment 🏙️ Smart Cities: Manage traffic, energy, and infrastructure 🛠️ Product Design: Test new designs safely in the virtual twin By blending IoT + AI + Data, Digital Twins transform industries with smarter decisions, safer operations, and sustainable growth. 🌍💡 #DigitalTwin #VirtualReplica #IoT #AI #SmartCities #Innovation #FutureTech #Industry40

💡 Smart Tech was supposed to make life easier and reduce costs. So why do so many of us in STR feel like we’re spending more than ever?🤔 Today, operators juggle PMSs, pricing tools, CRMs, BI dashboards, smart locks, automated check-ins… the list goes on and on. But what does “smart tech” actually mean? 👉 It refers to systems, devices, and software that use AI, machine learning, and IoT to be intelligent, connected, and automated – analyzing and responding to information on our behalf. At this panel on smart technologies at VRM Days, we’ll ask Alexander Limpert, Saber Kordestanchi, Jessica Gillingham, Tomislav Zovko ✨ What is truly a “must-have” and what is just “nice to have”? ✨ How do we build a tech stack that works for us, not against us? #vrmdays #shorttermrentals #str #smarttech

Is your AI agent too bulky or inefficient? Discover how Agent-C, a 4KB AI agent, is revolutionizing compact AI design! 🤖✨ Key Insights: - Agent-C is designed for maximum efficiency with minimal resource usage. - This compact AI model can potentially transform applications where size and speed are critical. - It showcases the power of lean programming in AI development. Why does this matter? In today's fast-paced tech environment, efficiency is king. Whether you're developing AI for IoT devices, mobile applications, or other space-constrained environments, embracing compact solutions like Agent-C can lead to significant performance gains and cost savings. Imagine the possibilities: - Future AI applications that seamlessly integrate into smaller devices. - Reduced energy consumption leading to more sustainable tech practices. What are your thoughts on the future of compact AI design? How do you see it impacting your field? Share your insights below! 👇 Know someone who would find this interesting? Share this post with them! #AI #TechInnovation #CompactAI #AgentC #EfficientDesign #AIDevelopment #FutureOfAI Check out more about Agent-C here: [GitHub](https://lnkd.in/dmKzKn_6)

Digital Twins: Where the Physical Meets the Virtual A Digital Twin is a dynamic virtual replica of a physical asset, system, or process. It goes beyond just simulation it continuously collects real-time data, learns, and evolves with its physical counterpart. What is it? A digital model that mirrors real-world objects, processes, or environments in real time. How does it work? By integrating IoT sensors, AI, data analytics, and cloud computing, Digital Twins create a live connection between the physical and digital worlds. Why does it matter? 1. Enables predictive maintenance 2. Improves efficiency and performance 3. Reduces costs and downtime 4. Enhances product design and innovation 5. Provides valuable insights for decision-making Where is it used? 1. Healthcare: Patient monitoring, surgical planning 2. Manufacturing: Process optimization, smart factories 3. Construction: Real-time monitoring of infrastructure 4. Automotive & Aerospace: Design, safety testing, performance tracking 5. Smart Cities: Traffic management, energy efficiency, urban planning Future impact Digital Twins will become central to Industry 4.0 bridging the gap between data and decision-making, and making businesses more adaptive, predictive, and resilient. The question isn’t if Digital Twins will reshape industries it’s how fast organizations will embrace them. What’s your perspective on the future of Digital Twins? #DigitalTwin #Industry40 #IoT #AI #SmartManufacturing #FutureOfTech #Innovation #PredictiveMaintenance

🚀 The EdgeAI and TinyML Revolution: Transforming Industries from the Ground Up We're witnessing a fundamental shift in how AI is deployed and consumed. EdgeAI and TinyML are moving intelligence from the cloud to the edge, creating unprecedented opportunities across industries. Key Industry Implications: 💡 Manufacturing & IoT: Real-time quality control and predictive maintenance without cloud dependency. Companies are achieving 99.9% uptime with sub-millisecond response times. 🏥 Healthcare: Wearable devices performing continuous health monitoring with medical-grade accuracy while preserving patient privacy through on-device processing. 🚗 Automotive: Advanced driver assistance systems making split-second decisions locally, improving safety while reducing bandwidth costs. 🏢 Smart Buildings: Energy optimization systems that adapt in real-time, reducing operational costs by up to 30% while maintaining occupant comfort. The Business Case is Clear: - Reduced latency and bandwidth costs - Enhanced data privacy and security - Improved reliability and offline capabilities - Lower total cost of ownership Challenges Ahead: The technical constraints of edge deployment demand innovative approaches to model compression, hardware optimization, and power efficiency. We're seeing exciting developments in quantization techniques, neural architecture search, and specialized AI chips. What industries do you think will be most transformed by this edge computing revolution? I'd love to hear your thoughts on where you're seeing the most promising applications. #EdgeAI #TinyML #IoT #ArtificialIntelligence #Innovation #Technology #MachineLearning #Industry40

What if : your factory could predict a machine breakdown before it even happened? You’re running a smart factory in 2030. An IoT sensor flags that a key machine might fail in 48 hours. AI instantly suggests a predictive maintenance schedule and reroutes production to minimize downtime. Do you: A) Trust the AI completely and let it take over? B) Balance human judgment with machine insight, using AI as your decision partner rather than your replacement? Factories of the future won’t just run on machines—they’ll run on data. But efficiency isn’t about automation alone. It’s about how humans and AI collaborate. 👉 Operations leaders who understand both processes and data will be the ones shaping tomorrow’s factories. Do u agree? #SmartManufacturing #Industry4.0 #Futureofwork #OperationalExcellence

Data Landscape: Yesterday-Today-and Tomorrow Yesterday, data was paper-based, siloed, and used mainly for record keeping, leading to slow decision-making. Today, data is digital, large-scale, and real-time, enabling faster, evidence-based decisions through dashboards and analytics. Tomorrow, data will be hyper-connected and predictive—driven by AI, IoT, and genomics—supporting proactive, personalized, and preventive solutions across sectors. #DataLandscape #AI #IoT #Digital

AI without real-time data is like a GPS without satellites. AI on its own is a powerful engine, but it can't drive without fuel. That fuel is data. More specifically, it's the continuous flow of real-time data from the physical world that truly makes it shine. This is where a vertically integrated system becomes essential, combining the senses, nerves, and brain of an operation: 1. 𝗧𝗵𝗲 𝗦𝗲𝗻𝘀𝗲𝘀 (𝗜𝗼𝗧): IoT devices and sensors are the eyes and ears, collecting vast amounts of data from the environment, from machine temperatures in a factory to the location of a package in transit. 2. 𝗧𝗵𝗲 𝗡𝗲𝗿𝘃𝗼𝘂𝘀 𝗦𝘆𝘀𝘁𝗲𝗺 (𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆): The data collected by IoT devices must be transmitted efficiently and securely to be aggregated and processed. 3. 𝗧𝗵𝗲 𝗕𝗿𝗮𝗶𝗻 (𝗔𝗜): AI algorithms analyze the massive streams of data to identify patterns, spot anomalies, and predict outcomes. This is the crucial step where raw data is turned into actionable intelligence. Only a true vertically integrated system, with all three components working in harmony, can turn data into decisive action. This synergy doesn't just improve processes; it redefines what's possible in decision-making and automation, leading to incredible advancements like: - 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲: Predicting equipment failures before they happen. - 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗖𝗶𝘁𝗶𝗲𝘀: Optimizing traffic flow to reduce congestion and improve safety. - 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻𝘀: Providing the visibility and intelligence needed for more efficient and sustainable global trade. Over to you: What's the most exciting application of a fully integrated AI and IoT system you've seen? #AI #IoT #Data #Logistics #SupplyChain #Technology #Innovation #VerticalIntegration

🌍 AI Computing in 2025: Smarter, Greener, More Connected AI is evolving fast—showing human-like reasoning, energy awareness, and real-world adaptability. 🔹 Smarter AI: Moving beyond simple outputs, AI now handles ambiguity, explains decisions, and adapts to context. Avalue’s GPU Expansion Systems deliver the power needed for LLMs and conversational AI. 🔹 Sustainability First: AI is not only more efficient but also helps drive greener operations—from supply chain optimization to carbon management. At Avalue, we support this with low-power ePaper and durable HMI solutions. 🔹 AI + Edge + IoT: Their convergence enables real-time, decentralized intelligence across industries—factories, healthcare, retail, and more. ✨ At Avalue, we build AI-ready infrastructure to help businesses stay ahead. Explore more: https://lnkd.in/gsEjyHz9