ICT & Electronics Industry- MarkNtel Advisors’ Post

🚀 AI: The Next Co-Engineer? Artificial Intelligence is no longer just a tool—it’s becoming a true “co-engineer”, reshaping how we design, build, and innovate. Rather than replacing engineers, AI is enabling: ✅ Generative design that explores thousands of solutions in minutes ✅ Predictive maintenance that cuts downtime and boosts efficiency ✅ IoT + digital twins for real-time monitoring and lifecycle management ✅ Smarter simulations to solve problems once considered unsolvable But here’s the key: human judgment remains irreplaceable. Engineers of tomorrow will pair their creativity and ethical stewardship with AI’s speed and scalability—unlocking solutions that are faster, smarter, and more resilient. 🌍 The future of engineering isn’t human vs. AI, it’s Human + AI. Together, we’re entering a new era of co-engineering. 👉 Are we ready to collaborate with AI as our next engineering partner? #AI #Engineering #ArtificialIntelligence #FutureOfWork #Innovation #DigitalTwins #GenerativeAI

🚀 The Next Big Shift in Artificial Intelligence: Edge AI Artificial Intelligence has powered digital transformation for years-but the real breakthrough isn’t happening in the cloud. It’s happening at the edge: directly on devices, machines, and sensors. This is Edge AI—and it’s redefining how industries operate. ✨ Why Edge AI is powerful Ultra-fast decisions: Real-time insights without cloud delays. Privacy by design: Sensitive data processed locally, lowering risk. Always-on reliability: Functions even without stable connectivity. Efficiency at scale: Reduces bandwidth use and cuts costs. 🌍 Industry impact already underway Healthcare: Wearables that detect health anomalies instantly. Manufacturing: Machines predicting failures before they occur. Retail: Personalized in-store experiences from on-device analytics. Transportation: Autonomous vehicles making split-second choices. 📊 Market momentum The global Edge AI market was valued at $20.78B in 2024 and is projected to reach $66.47B by 2030 with a CAGR of ~21.7% (Grand View Research). Other forecasts suggest growth to $143B by 2034 (Precedence Research). 💡 The bigger picture Cloud AI isn’t going away—it’s still critical for training complex models. But Edge AI complements it by bringing machine learning inference directly to the point of action. Together, they form a hybrid ecosystem that is smarter, faster, and more resilient. Edge AI isn’t just an emerging technology-it’s becoming the backbone of enterprise-grade AI adoption. #EdgeAI #ArtificialIntelligence #MachineLearning #DigitalTransformation #IoT #FutureOfWork #EnterpriseAI #AI

🚀 𝐒𝐄𝐂𝐎 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐬 𝐧𝐞𝐰 𝐀𝐈 𝐀𝐩𝐩𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐀𝐩𝐩 𝐇𝐮𝐛, 𝐧𝐨𝐰 𝐰𝐢𝐭𝐡 𝐟𝐮𝐥𝐥 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐚 𝐭𝐫𝐢𝐚𝐥 𝐨𝐟 𝐂𝐥𝐞𝐚 🧩🧠 Read the full PR here: 👉 https://lnkd.in/dDFqqYAX SECO has launched seven new #AI solutions in the past month, each one rigorously validated within SECO’s #hardware ecosystem to ensure seamless #integration and #deployment. This release also introduces: 🔹 A new “#Deploy” button for instant access to a 90-day Clea trial 🔹 Full #documentation available in the #SECODeveloperCenter, with step-by-step #guides and #specifications 🧩🧠 The new #applications span diverse use cases – from industrial #QualityControl and predictive #analytics to on-device #ConversationalAI – enabling #clients to focus on what truly differentiates their #products while SECO handles the complexities of #AI. ✨ 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗮𝗽𝗽𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: 🔹 #Llama – Local Chatbot with Intel Corporation® #OpenVINO™ 🔹 #SensorForecast – Smart Building (NeuralProphet) 🔹 #FaceID + Edge Impulse 🔹 #SceneTextDetection – High Accuracy & Light Model 🔹 #PCB Defect Detection 🔹 #YAMNet – Training Experience 💬 “We are enabling our clients to build powerful, custom #AI/ML #pipelines without getting bogged down by the underlying technological complexities,” says Fausto Di Segni, Head of IoT and AI at SECO. Ready to transform your #product with #AI? Start here with SECO Application Hub 👉https://apphub.seco.com/ #SECOBusiness #SECOAppHub #Clea #AI #EdgeComputing #QualityControl #PredictiveAnalytics #ConversationalAI

🚀 𝐒𝐄𝐂𝐎 𝐫𝐞𝐥𝐞𝐚𝐬𝐞𝐬 𝐧𝐞𝐰 𝐀𝐈 𝐀𝐩𝐩𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐀𝐩𝐩 𝐇𝐮𝐛 – 𝐧𝐨𝐰 𝐰𝐢𝐭𝐡 𝐟𝐮𝐥𝐥 𝐝𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐚 𝟗𝟎-𝐝𝐚𝐲 𝐂𝐥𝐞𝐚 𝐭𝐫𝐢𝐚𝐥 🧩🧠 With this release, #Clea takes center stage as the enabler of on-device #AI. Through the new “#Deploy” button, you can instantly activate a 90-day free trial of #Clea and start experimenting with validated #AI solutions across SECO’s #hardware ecosystem. 🔹 Full #documentation, guides, and specs are now available in the #SECODeveloperCenter – making it easier than ever to deploy, customize, and scale your AI pipelines with Clea. 🔹 From #QualityControl and #PredictiveAnalytics to #ConversationalAI, Clea empowers you to innovate while seamlessly managing deployment and integration. ✨ Discover all the new apps now available! 👉 Start your Clea journey today on the SECO Application Hub: https://apphub.seco.com/ #Clea #SECOAppHub #AI #EdgeComputing #IoT #Innovation #MachineLearning

AI-Driven Supply Chain Orchestration: Building the Cognitive Core The supply chain is no longer just about moving goods—it’s about orchestrating intelligence across every node, every process, and every decision. We’ve entered an era where connected systems, predictive insights, and autonomous responses are reshaping the very DNA of supply chain operations. What once ran on static forecasts and siloed tools is now evolving into self-learning, adaptive ecosystems powered by AI. ✔️ Connectivity – Breaking down data silos to create a real-time nervous system across suppliers, plants, logistics, and customers. ✔️ Predictive Intelligence – Using AI and graph-based models to foresee disruptions before they ripple across the value chain. ✔️ Autonomous Orchestration – Moving from human-dependent interventions to AI-driven responses that optimize production, balance inventories, and reroute logistics—automatically. The result? Cognitive supply chains that don’t just react but anticipate, simulate, and self-correct—turning uncertainty into opportunity. Business leaders today aren’t just asking “How can we make our supply chain more efficient?”—they’re asking “How can we make it more intelligent, adaptive, and future-proof?” The answer lies in building the cognitive core: a layer of AI-powered orchestration that fuses IoT signals, enterprise data, and market intelligence into living decision networks. This isn’t tomorrow’s vision—it’s today’s imperative. Organizations that embed intelligence into their supply chains now will set the benchmark for resilience, agility, and growth in the decade ahead. 🔹 #SupplyChainInnovation #CognitiveSupplyChain #AIinSupplyChain #IntelligentEnterprises #DigitalTransformation #SupplyChainResilience #FutureOfWork #GraphAI #PredictiveAnalytics #SmartManufacturing

Engineered for Peak Performance: Championship-Level Supply Chain AI In competitive sports, championships aren’t won by luck — they’re won by precision engineering, data-driven strategy, and flawless execution. At YaanAI, we believe the same holds true for supply chains. That’s why we’ve architected our AI solutions with the same rigor as a championship-winning machine: 🔹 Infrastructure Precision – Scalable compute power (CPUs, GPUs, TPUs), seamless networking, and secure storage built for AI at enterprise scale. 🔹 Data Integration Mastery – Real-time ingestion from IoT, ERP, CRM, and external sources to keep insights fresh and actionable. 🔹 Intelligence at Every Layer – From feature engineering to model training, optimization, and reasoning with knowledge graphs and agents. 🔹 Application Excellence – Deployments that don’t just predict, but guide, empower, and transform business decisions. 🏆 The result? Championship-level supply chain performance — smarter, faster, and resilient in the face of uncertainty. In today’s world, supply chain leaders don’t just compete… they win with AI. 👉 Are you ready to engineer your supply chain for peak performance? #SupplyChain #AI #DigitalTransformation #YaanAI #Innovation

Which AI trends are driving change in manufacturing in 2025? Learn more in this week's virtual conference: https://lnkd.in/dPJBDibF click subscribe! According to IoT Analytics new Industrial AI Market Report 2025–2030, the market reached $43.6B in 2024 and is forecasted to grow 3.5x by 2030, fueled by developments in GenAI, edge computing, and scalable data infrastructure. Here are 8 key insights from the IoT Analytics research: ✔ Industrial AI spending remains low but rising quickly: US manufacturers invest just 0.1% of revenue into AI, but large firms are now scaling ✔ Most large manufacturers now have CEO-led AI strategies – a very different picture to what we observed when we last looked at our 2021 Industrial AI Market Report. ✔ Quality & inspection leads as the top use case, with vision systems seeing the strongest ROI ✔ Scalable data architectures and DataOps are becoming strategic imperatives ✔ Training and upskilling are emerging as critical AI enablers across operations and IT ✔ Industrial copilots (=GenAI assistants embedded in manufacturing software) are becoming standard features ✔ Edge AI is gaining traction due to latency and cost concerns, powered by new chipsets and orchestration platforms ✔ Domain-specific foundation models are emerging to “speak the language of engineering” Read more: https://lnkd.in/eBSy7jvw ⁉What Industrial AI topics are currently top of mind for you or your organization? ✅ Subscribe to #global5gevolution newsletter https://lnkd.in/ge9gsyjE ✅ Or subscribe #global5gevolution YouTube https://lnkd.in/g8M7YvKq ✅ Follow us Kaneshwaran Govindasamy & Global 5G Evolution 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝘁𝗵𝗲 𝗚𝗹𝗼𝗯𝗮𝗹 𝟱𝗚 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆! Your support helps us continue delivering the latest insights, research & conference discussions. Every contribution enables us to sustain & grow this platform for the benefit of all members 𝗖𝗵𝗼𝗼𝘀𝗲 𝘆𝗼𝘂𝗿 𝘄𝗮𝘆 𝘁𝗼 𝘀𝘂𝗽𝗽𝗼𝗿𝘁: 👉Small monthly recurring donation: https://lnkd.in/e4MAD7pN 👉One-time donation: https://lnkd.in/eitCeewX #IndustrialAI

AI Everywhere: Europe’s Time to Shine ✨❤️🇪🇺👇 "Industrial AI market: 10 insights on how AI is transforming manufacturing" The global #industrialAI market reached $43.6 billion in 2024 and is expected to grow at a CAGR of 23% to $153.9 billion by 2030, according to the Industrial AI Market Report 2025–2030(published August 2025). Although #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. Industrial AI operates under different rules than consumer AI. Whereas GenAI dominates consumer and office adoption for text and images, most industrial value comes from sensor time-series, machine vision, and simulations that must run reliably at the edge and integrate with OT systems. As a result, explainability, safety, and payback discipline drive what gets deployed. Thanks again to Knud Lasse Lueth and IoT Analytics for the full article with a lot more background and insights via the link below 🙏💡👇 https://lnkd.in/eWthU9Vk #semiconductorindustry #semiconductor #technology #tech #embedded #it #computing #geopolitics #chip #aiot #automation #iot #innovation #llm FBDI e.V. - Fachverband Bauelemente Distribution 🤩❤️💚

Most companies think Vision AI ends with detection. Detection without context doesn’t mean much. The real power comes when you connect the dots. That’s where a Vision AI Aggregator changes the game. Pull together: Raw inputs — cameras, IoT sensors, logs, historical video Context layers — temporal drift, spatial stitching, multi-modal fusion Reasoning engines — edge intelligence, cloud memory, policy guardrails , all converging in one hub that feeds: Automations (slow a spindle, pause a crane zone, replenish stock) Ops Systems (MES, CMMS, EMR — with real evidence, not alerts in silos) People & Alerts (actionable tickets, dashboards, nudges in the flow of work) And the impact is very real: Manufacturing — stop a defective batch before it leaves the line Construction — predict near-miss risks by combining video with weather & shift data Retail — replenish shelves before sales dip Healthcare — flag anomaly drift across months of imaging, not just a single scan This is Vision AI as an operating system for the enterprise , measurable against MTTR, defect escape, p95 latency, safety incidents, and throughput. And here’s the intriguing part: It’s not about bigger models. It’s about smarter relationships between detections. Question for you: If you were designing a Vision AI stack today, would you bet on edge reasoning for instant action or cloud context for deeper foresight? #VisionAI #EdgeAI #AITransformation #ComputerVision #ThoughtLeadership

𝐀𝐈 𝐈𝐬𝐧’𝐭 𝐒𝐜𝐢-𝐅𝐢 𝐀𝐧𝐲𝐦𝐨𝐫𝐞: 𝐈𝐦𝐚𝐠𝐞𝐆𝐫𝐚𝐟𝐢𝐱’𝐬 𝐏𝐥𝐚𝐲𝐛𝐨𝐨𝐤 𝐟𝐨𝐫 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞 & 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐰𝐢𝐧𝐬 For years, AI sounded like something out of a sci-fi script. But in boardrooms of manufacturers and chemical plants, the conversation has shifted from “𝑊ℎ𝑎𝑡 𝑖𝑠 𝑖𝑡?” to “𝐻𝑜𝑤 𝑠𝑜𝑜𝑛 𝑐𝑎𝑛 𝑤𝑒 𝑚𝑜𝑛𝑒𝑡𝑖𝑧𝑒 𝑖𝑡?" At #ImageGrafix, our job was to turn complex #IIoT jargon—#sensors, #digitaltwins, #predictiveanalytics— into stories that decision-makers could relate to. - We showed how a pump failure predicted by a sensor saved millions in unplanned downtime. - We reframed “Digital Twins” from a buzzword into a boardroom tool for CAPEX protection and ESG compliance. - We made AI about resilience and ROI, not robots and hype. How we told the story mattered as much as the technology itself The takeaway? AI in maintenance isn’t sci-fi...it’s survival. And the right Company doesn’t just sell software; 𝐢𝐭 𝐬𝐞𝐥𝐥𝐬 𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐢𝐧 𝐚 𝐯𝐨𝐥𝐚𝐭𝐢𝐥𝐞 𝐰𝐨𝐫𝐥𝐝. ImageGrafix Asset Management and IOT Solutions Hexagon Asset Lifecycle Intelligence Gaurav Singh Deepak Sethia Ashwini T Spandan Basu ↗️ #ImageGrafix #Hexagon #KingdomofSaudiArabia #AI #DigitalTwins #ConnectedMaintenance #IIoT #IndustrialSoftware