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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

🌍 𝙄𝙣𝙙𝙪𝙨𝙩𝙧𝙮 𝙐𝙥𝙙𝙖𝙩𝙚: 𝘿𝙞𝙜𝙞𝙩𝙖𝙡 𝙏𝙬𝙞𝙣𝙨 𝘼𝙧𝙚 𝙂𝙧𝙤𝙬𝙞𝙣𝙜 𝙐𝙥 A few years ago, when people said “digital twin,” most of us thought about factories or machines. But today, the concept has expanded — and it’s reshaping entire industries: 🔹 𝗦𝗺𝗮𝗿𝘁 𝗖𝗶𝘁𝗶𝗲𝘀 – Singapore already uses digital twins to model traffic, energy, and climate resilience. 🔹 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 – Digital twins of organs are helping doctors test treatments virtually — without risk to patients. 🔹 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 – Supply chains are mirrored digitally to cut waste and boost efficiency. 💡 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: This isn’t just simulation anymore. 𝗜𝘁’𝘀 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴 powered by data, AI, and IoT — helping leaders move faster and smarter. 👉 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝘆𝗼𝘂: Do you see digital twins becoming as common as cloud computing in the next 10 years? #IndustryNews #DigitalTwins #TechTrends #AI #IoT #SmartCities #HealthcareInnovation #EpixelSoft

The industrial landscape is transforming! Our latest 451 Digital Industries Insider highlights a shift from digital tool adoption to a reengineering of operations, fueled by AI, edge computing, and digital twins. Key takeaways include: - Enterprises must shift from experimentation to data-driven execution for real ROI. - Vendors need to focus on intelligent ecosystems that deliver measurable outcomes. Discover how to navigate this complexity with clarity and confidence in our July 2025 edition! https://okt.to/SIXsEZ #DigitalTransformation #AI #IoT #451Research

The U.S. Software Defined Vehicles Market is fueled by advanced software platforms enhancing vehicle functionality. In 2024, on-board (edge) deployment led the market with a 63.3% share due to its local data processing capabilities. Study the market @ https://lnkd.in/dS3QwP8v #GVR #SDV #marketresearch #research #marketreports #marketinsights #marketsummary #marketgrowth #marketconcentration #marketcharacteristics #AI #ML #iot #artificialintelligence #tech #technology #smarttech

Digital Twins are more than simulations—they’re intelligent bridges. By continuously connecting the physical world with the virtual world, Digital Twins allow organizations to: ✔️ Monitor real-time performance ✔️ Simulate future scenarios ✔️ Send insights back to optimize operations This carousel explores how Digital Twins rely on three pillars: 1️⃣ Digital Inside – Intelligence embedded at design stage 2️⃣ Digital Continuity – Seamless data flow across lifecycle 3️⃣ Digital Convergence – Linking IT, OT, and business systems The result? Smarter factories, safer operations, faster innovation, and sustainable growth. 🎯 Swipe through the carousel to see how Digital Twins bridge physical and virtual worlds 👉 Do you see Digital Twins as an efficiency tool or a strategic game-changer? #DigitalTwins #Industry40 #SmartFactory #IoT #AI #XR #Innovation #CapgeminiResearch

Is Your Warehouse Ready for the Next Level of Efficiency? Distribution and fulfilment centers are under more pressure than ever to deliver speed, accuracy, and cost savings — all while supporting sustainability goals. By integrating AI, machine learning, IoT, and AR/VR technologies, warehouses can increase picking efficiency by 20–40%, unlocking millions in annual savings. At Tompkins Ventures, we connect companies with the solutions and expertise to make this transformation possible. How it works: ✅ Digital twins replicate the warehouse environment, enabling real-time optimization. ✅ AI-driven workflows streamline processes and reduce bottlenecks. ✅ Audio and visual guidance supports employees with precision picking and slotting. ✅ Sustainability benefits emerge through reduced waste, improved energy use, and smarter space utilization. Proven Impact: One client saved $8 million annually by deploying this technology across more than a dozen sites — with over 10 million items picked and 1,000+ warehouse employees leveraging the system. The result: faster fulfilment, lower operating costs, and stronger ESG performance. If you’re exploring ways to transform warehouse operations, let’s connect. Tompkins Ventures can help you identify and implement the right innovations to drive measurable results. #WarehouseEfficiency #SupplyChainInnovation #SupplyChainOptimization #Logistics #TompkinsVentures #SupplyChainResilience #DigitalTransformation #AI #MachineLearning #IoT #OperationalExcellence #SupplyChainManagement

In this technology & business insight report Johan Vermij and our team look at the evolution of and demand for industrial AI, drivers and use-cases, and vertical applications. Clients can access here: https://lnkd.in/gS-Jxk3c

🚀 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

𝐀𝐈 + 𝐄𝐝𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 We’re entering a tipping point where AI and Edge Computing aren’t just buzzwords—they’re becoming business necessities. Here’s why 2025 stands out: 1️⃣ 𝐃𝐚𝐭𝐚 𝐦𝐨𝐯𝐞𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐞𝐝𝐠𝐞 By 2025, 75% of enterprise data will be processed at the edge (vs. 10% in 2018). Less latency, more real-time decisions. 2️⃣ 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐬𝐩𝐢𝐤𝐞𝐬 Edge adoption is expected to jump from 20% in 2024 to 50% in 2025. 3️⃣ 𝐀𝐈 𝐫𝐮𝐧𝐬 𝐥𝐨𝐜𝐚𝐥𝐥𝐲 AI-enabled chips are turning PCs, IoT devices, and sensors into “mini data centers.” 4️⃣ 𝟓𝐆 𝐮𝐧𝐥𝐨𝐜𝐤𝐬 𝐬𝐜𝐚𝐥𝐞 Ultra-low latency networks + MEC make real-time edge AI possible at scale. 5️⃣ 𝐀𝐈 𝐏𝐂𝐬 𝐫𝐢𝐬𝐞 𝐟𝐚𝐬𝐭 By the end of this year, 31% of new PCs will ship with AI capabilities, up from just 2% last year. 6️⃣ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐭𝐡𝐞 𝐟𝐨𝐜𝐮𝐬 Smarter, leaner AI models at the edge = lower costs + sustainability wins. The result? Faster insights, smarter devices, and entirely new business models across healthcare, manufacturing, finance, and beyond. 👉 Do you think Edge AI will finally go mainstream in 2025, or are we still a few years away? #AI #EdgeComputing #TechTrends #Innovation #FutureOfTech

A new day, a new paradox... Yesterday, I talked about the Industrial AI Paradox. Today — the Data Downtime Paradox. Every industrial leader tracks: ⚙️ Production downtime 💻 IT downtime But almost nobody tracks Data Downtime yet. 👉 Or do you? 👉 https://lnkd.in/ekugbtyh Billions are invested in infrastructure, AI, and transformation. Yet when data drifts, flatlines, lies, or is unreliable… everything stands on shaky ground. Leading Analyst firms — Gartner, LNS Research, IDC, ARC Advisory Group Inc., Verdantix, and IoT Analytics — you already discuss data quality, observability, and unplanned downtime. 👉 I’d love to see you make Data Downtime a recognized industry KPI in your frameworks and reports, because only then will industry leaders start owning it. 🔗 Swipe through the carousel for the paradox. #DataDowntime #IndustrialAI #DataQuality #AIoT #DigitalTransformation Thomas Dhollander Niels Verheijen Adriaan Van Horenbeek