How AI and satellite mini-constellations are transforming weather forecasting.

Weather is no longer small talk. It’s big business, driven by AI, satellites, and soaring climate risks. #weatherforecast #AI #satellites #climatetech #cleantech #forecasting Cleantech Group

💥 The AI gold rush is unstoppable, but our power grids aren’t. In Germany, applying for new grid capacity can take 10 years. By then, the AI models everyone is chasing will already be outdated. So maybe the future of data centers isn’t about bigger buildings — maybe it’s about becoming ecosystems. 🌊 Floating ocean pods, cooled by seawater and powered by tides. ❄️ Cold-pole stations, using Earth itself as the ultimate air conditioner. 🌳 Forest-integrated compute farms, where racks double as vertical farms. 🐝 Micro “digital beehives” in cities, small individually but powerful together. 🌌 Orbital habitats powered by solar energy. 💡 Will data centers stop being buildings and start living as ecosystems? PS: This isn’t a prediction — it’s a conversation starter. Which ideas could shape the future of Data Centres as we know them?

IBM and NASA Develop a Digital Twin of the Sun to Predict Future Solar StormsIBM and NASA's AI model, Surya, predicts solar flares 16% more accurately and twice as fast as existing systems. Trained on Solar Dynamics Observatory data, it creates a dynamic digital twin of the Sun to predict solar weather events, benefiting fields like planetary science and Earth observation. For small businesses, AI tools like Surya can optimize operations by improving predictive capabilities and decision-making. In marketing, similar AI models could enhance customer behavior predictions, boosting targeted strategies. In sales, they can provide insights into market trends, improving sales forecasts and inventory management.Read more: https://lnkd.in/eURrTQ8P #Automation #TamirSystems #

Two hours can change everything. IBM and NASA just released Surya, an open-source AI model on Hugging Face that predicts solar flares up to two hours in advance. It learned from nearly a decade of high-resolution data from NASA’s Solar Dynamics Observatory and outperforms previous methods by 16%. Why does this matter beyond space science? Because it’s a blueprint for proactive analytics and a challenge for businesses: how fast can you turn early warnings into real action? Here’s why this is a big deal for business and analytics teams: 1. Operational lead time is leverage. Two hours of reliable notice can help satellite operators, telecoms, energy providers, and airlines trigger automated playbooks to protect critical systems. 2. Big data + AI in the real world. Surya processes years of solar imagery with transformer-based models. That’s large-scale feature engineering, continuous learning, and real-time scoring in practice, the same challenges enterprises face when scaling AI. 3. Open source = rapid innovation. With Surya live on Hugging Face, any team can adapt it. Think supply chain risk models, insurance triggers, GNSS reliability monitoring, and predictive dashboards. If you lead analytics or risk management, start here: Map your exposures to GPS and satellite disruptions. Integrate this signal into incident playbooks and automated decision flows. Run a stress test: What decisions can you actually make in a two-hour window? This isn’t just space weather. It’s a real-world example of science, open-source AI, and business resilience converging. If you had this signal today, how would you use it to protect your operations? #AI #BusinessAnalytics #RiskManagement #OpenSource #Innovation

🌍 The future of weather prediction is AI, powered by better data. The WMO’s recent conference in Abu Dhabi brought together global leaders in meteorology, AI, and climate tech. The concluding message was clear: the world needs shared and open data, interoperable benchmarks, and human-centered service design to make AI weather prediction both powerful and trusted. At Skyfora, we could not agree more. Our mission is to stream real-time, high-resolution GNSS data from existing telecom infrastructure to fill critical observation gaps. This data becomes “superfood” for AI weather models, including innovations like NVIDIA’s StormCast, where sub-hour, sub-kilometer precision can make the difference between early warnings and devastating surprises. Importantly, this same data also strengthens global and local Numerical Weather Prediction (NWP), complementing physics-based models with richer inputs that sharpen accuracy and timeliness. Better data is the foundation of better forecasts. And better forecasts mean more resilient societies, economies, and industries. 👉 We support the WMO’s call for global collaboration, and we are committed to building the data layer that makes AI weather intelligence truly work for everyone. https://lnkd.in/dyrnR4hD #AIWeather #ClimateResilience #WeatherData #GNSS #EarlyWarningSystems

"Empowering Power Utilities: How Vigiline's Solutions Enhance Power Infrastructure Efficiency" Efficiency is the driving force behind successful power utilities. To optimize their operations, reduce costs, and enhance the reliability of their power infrastructure, utilities need advanced solutions tailored to their specific needs. At Vigiline, we empower power utilities with our cutting-edge drone-based inspection solutions that redefine power infrastructure efficiency. By harnessing the power of drone technology and advanced sensors, our inspections provide utilities with detailed data about transmission lines, support structures, and surrounding vegetation. This data is processed using artificial intelligence and machine learning algorithms, enabling utilities to detect potential faults, hotspots, vegetation encroachment, and structural anomalies. The actionable insights provided by our solutions allow power utilities to make informed decisions and take proactive measures. Utilities can optimize their maintenance activities and reduce the need for reactive repairs by addressing issues before they become critical. This approach minimizes downtime and lowers maintenance costs, resulting in significant operational efficiency gains. Moreover, our drone-based inspections enable power utilities to allocate their resources effectively. By identifying potential issues in advance, utilities can allocate the necessary human resources, equipment, and materials to address them promptly. This efficient resource allocation ensures that maintenance tasks are completed in a timely manner, further enhancing power infrastructure efficiency. At #Vigiline, we are passionate about empowering power utilities. By incorporating our solutions, utilities can unlock the full potential of their operations, reduce costs, and deliver an efficient and reliable power supply to their customers. #DroneInspection #PowerUtilities #InfrastructureEfficiency #AI #MachineLearning #PredictiveMaintenance #OperationalExcellence #GridReliability #SmartUtilities

“Can we utilize generative AI to do very proactive evaluations of our grid to look for points where we lack resilience?” Modern utility infrastructure depends on anticipating risk before it becomes a failure. Martin Strasburger, Senior Vice President and Chief Security Officer at Duke Energy Corporation, points to AI as a way to move from reactive response to proactive resilience. The promise is not just better detection after the fact but modeling that helps identify weak spots across the grid. By simulating different operational states, defenders can get ahead of outages rather than scrambling once they occur. The opportunity extends beyond prevention. After a major storm, for example, aircraft equipped with high-resolution cameras can feed images directly into AI models running on the edge. Those models analyze damage in real time and deliver precise assessments back to operations centers. The result: crews are deployed faster, response is more accurate, and power is restored more quickly for affected communities. On this week’s episode of Enterprise AI Defenders, Martin explains why AI-driven resilience modeling and rapid recovery are becoming essential for modern utilities. 🎧 Listen to the full episode in the comments #enterpriseaidefenders #dukeenergy #gridresilience #generativeai #stormresponse #criticalinfrastructure

Amazing conversation with Martin Strasburger from Duke Energy Corporation. While the basic fundamentals of cybersecurity are the same - it’s insightful to hear from guests like Martin on how very different the applications of those fundamentals. Not only that but you realize the importance of the job and what’s at stake if cybercriminals are successful in their attacks. We take for granted when you can flip the light switch on and it just works. That’s not because it’s easy and it’s definitely not because bad actors aren’t targeting utility companies. Tune in and listen. Follow Enterprise AI Defenders for more unique conversations and drop me a line if you’d like to join me and Evan Reiser on a future podcast! #ciso #podcast #cybersecurity

From 💡 Smart to Intelligent 💡 - Digital Twins and AI Agents Driving the Next Revolution The convergence of #DigitalTwin and #AIAgents is reshaping how industries and cities operate, unlocking new levels of efficiency, sustainability and intelligence. Together, they represent a powerful paradigm for the next generation of #smartcities and advanced #manufacturing. The synergy of #DigitalTwins + #AIAgents is not just a technological leap, it’s a societal one. AI-powered digital twins are revolutionizing the way cities and factories operate by embedding intelligence into complex systems. In #smartcities, pilots in #Barcelona and #Hangzhou have demonstrated how AI agents within city twins can forecast traffic congestion up to 30 minutes ahead and dynamically adjust signals to ease flow, while in #Dubai, energy twins are being used to balance loads across EV charging stations. Leaders like #Bosch are applying digital twin enabled predictive maintenance to detect anomalies early. Production processes are further enhanced by AI agents. At the same time, digital twins foster safer and more efficient #human-robot collaboration, allowing AI agents to monitor worker safety while coordinating collaborative robots(#cobots). The next decade will see digital twins evolve into cognitive ecosystems, where AI agents transform cities into living, learning organisms and factories into autonomous, resilient engines of growth.   🔺 Leading the Way ·      IBM + NASA “#Surya” Project: A digital twin of the Sun enhanced with AI to predict solar storms, safeguarding satellites and power grids. ·      #Yottar UK: Raising funding to use digital twins for power grid connection challenges in data centers. ·      Dassault Systèmes #VirtualTwin for Airports: Simulating airport operations to improve passenger flow and crisis response.   🔺 Trends Shaping the Next Decade ·      #CognitiveDigitalTwins: Evolving from passive models to #self-learning twins where AI agents continuously adapt based on real-world changes. ·      #FederatedCityTwins: Interconnected twins across mobility, utilities and public services, enabling holistic smart city management. ·      #QuantumDigitalTwins: Leveraging quantum computing to simulate highly complex systems like climate models, supply chains, or national power grids. ·      #Edge-AI Powered Twins: Moving intelligence closer to sensors, critical for real-time decisions in traffic systems and factory robotics. ·      #Sustainability by Design: AI-driven twins optimizing carbon footprint, waste reduction and circular economy initiatives. #DigitalTwin #AI #ArtificialIntelligence #AIagents #GenerativeAI #MachineLearning #Industry40 #IoT #SmartCities #UrbanInnovation #SmartInfrastructure #SustainableCities #UrbanMobility #CityPlanning https://lnkd.in/dgkpfnP6

The climate crisis is no longer a distant threat—data science and AI are now the frontline solutions. In 2025, predictive modeling, real-time analytics, and geo-intelligence are empowering faster, smarter disaster management worldwide. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗔𝗴𝗮𝗶𝗻𝘀𝘁 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗖𝗵𝗮𝗻𝗴𝗲: 𝗞𝗲𝘆 𝗜𝗺𝗽𝗮𝗰𝘁 𝗔𝗿𝗲𝗮𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱 🔎 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 & 𝗘𝗮𝗿𝗹𝘆 𝗪𝗮𝗿𝗻𝗶𝗻𝗴: AI-driven climate models analyze huge datasets—from satellite imagery to historical weather—spotting emerging threats early. Technologies like deep learning and sensor fusion are boosting the speed and accuracy of flood, wildfire, and heatwave forecasts. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗗𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗺𝗼𝗱𝗲𝗹𝗶𝗻𝗴, 𝗦𝗲𝗻𝘀𝗼𝗿 𝗳𝘂𝘀𝗶𝗼𝗻 🔥 𝗗𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝗔𝗰𝘁𝗶𝗼𝗻: Smart drones and computer vision track fires and floods in real time, guiding emergency teams straight to danger zones. Big data dashboards visualize risks, optimize rescue logistics, and identify vulnerable populations all in minutes rather than hours. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: 𝗗𝗿𝗼𝗻𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝘃𝗶𝘀𝗶𝗼𝗻, 𝗥𝗲𝘀𝗰𝘂𝗲 𝗹𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀, 𝗗𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 🌱 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗖𝗶𝘁𝗶𝗲𝘀 & 𝗨𝗿𝗯𝗮𝗻 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴: Advanced simulations support city planners in creating resilient infrastructure and low-carbon communities. Machine learning algorithms monitor resource usage and carbon emissions, suggesting improvements for energy, transport, and waste management. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: 𝗨𝗿𝗯𝗮𝗻 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗖𝗮𝗿𝗯𝗼𝗻 𝗳𝗼𝗼𝘁𝗽𝗿𝗶𝗻𝘁, 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 💬 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻: Now it's your turn. How is data science being deployed to build a more resilient future where you are? Share your insights and a project or tool that inspires you! #DataScience #ClimateAction #AIforGood #DisasterManagement #Sustainability #RealWorldImpact