Building AI Agents’ Post

The partnership will bring together Alphabet-owned Google's Gemini - its most advanced AI technology - and Honeywell's industrial data collected through its Forge platform to automate tasks and reduce project times, in an industry that continues to grapple with a labor shortage. The AI-powered tools will help automate tasks for engineers, warehouse workers, and technicians, among other uses, with the first AI-enabled solutions reaching Honeywell's customers in 2025. "The path to autonomy requires assets working harder, people working smarter and processes working more efficiently," Vimal Kapur, chairman and CEO of Honeywell, said in a statement. With the new AI-powered agent built on Google's Vertex AI platform, automated tasks will lead to reduced project design cycles, Honeywell said, adding that users will be able to process various data types such as images, videos, text and sensor readings. Honeywell, attempting to leverage the latest boom in AI technology, said it is aiming to reduce maintenance costs, increase operational productivity and "upskill employees" through the partnership for its customers. buff.ly/42YJQuJ #IndustryNews #TechUpdates #GoogleNews #HoneywellNews #TechInnovation #DigitalTransformation #IndustryLeaders #BusinessTrends #Technology #Automation #AI #SmartSolutions #CorporateNews #IoT #SustainabilityInTech #EnergySolutions #TechGiants

💡 We're curious to hear your thoughts! What do you think are the emerging trends in Edge AI that we should be aware of? As an industrial PC manufacturer, here's our take on the emerging trends: 𝟭. 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗜𝗼𝗧 𝗗𝗲𝘃𝗶𝗰𝗲𝘀 The convergence of industrial PCs with IoT is not just a trend—it's a game-changer. This integration is critical for enabling smarter, faster decision-making processes right at the edge, revolutionizing operational efficiencies. 𝟮. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗹𝗶𝗸𝗲 𝗚𝗲𝗻 𝗔𝗜) Embracing next-gen AI models isn't optional anymore; it’s essential. Industrial PCs must evolve to not only support but excel in running these sophisticated algorithms that drive unprecedented predictive capabilities. 𝟯. 𝗜𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝗱 𝗨𝘀𝗮𝗴𝗲 𝗼𝗳 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝘄𝗶𝗻𝘀 Digital twins are transforming more than just maintenance strategies; they're reshaping entire operational frameworks. For industrial PC manufacturers, this means a push towards systems that can seamlessly simulate and sync real-time data with virtual models. 𝟰. 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝟱𝗚 𝗮𝗻𝗱 𝗘𝗱𝗴𝗲 𝗔𝗜 The integration of 5G with Edge AI is propelling industrial PCs into a new era of connectivity and responsiveness. Even though many of our industrial PCs already support 5G, the ongoing advancements in 5G technology continue to enhance the capabilities of Edge AI, making real-time, ultra-reliable communication standard in industrial settings. 𝟱. 𝗘𝗱𝗴𝗲-𝘁𝗼-𝗖𝗹𝗼𝘂𝗱 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 The balance between edge computing and cloud integration is the new frontier. It's imperative for industrial PCs to master this orchestration, ensuring robust local processing that complements expansive cloud analytics. By staying attuned to these developments, we aim to ensure our products remain relevant and contribute meaningfully to the next wave of industrial innovation. What do you think? Comment your thoughts below! 🤔 Explore our Edge AI Solutions: https://lnkd.in/gpeNS4ZB #EdgeAI #IndustrialPC #EdgeComputing #DigitalTwin #5GwithEdgeAI

The partnership will bring together Alphabet-owned Google's Gemini - its most advanced AI technology - and Honeywell's industrial data collected through its Forge platform to automate tasks and reduce project times, in an industry that continues to grapple with a labor shortage. The AI-powered tools will help automate tasks for engineers, warehouse workers, and technicians, among other uses, with the first AI-enabled solutions reaching Honeywell's customers in 2025. "The path to autonomy requires assets working harder, people working smarter and processes working more efficiently," Vimal Kapur, chairman and CEO of Honeywell, said in a statement. With the new AI-powered agent built on Google's Vertex AI platform, automated tasks will lead to reduced project design cycles, Honeywell said, adding that users will be able to process various data types such as images, videos, text and sensor readings. Honeywell, attempting to leverage the latest boom in AI technology, said it is aiming to reduce maintenance costs, increase operational productivity and "upskill employees" through the partnership for its customers. buff.ly/42YJQuJ #IndustryNews #TechUpdates #GoogleNews #HoneywellNews #TechInnovation #DigitalTransformation #IndustryLeaders #BusinessTrends #Technology #Automation #AI #SmartSolutions #CorporateNews #IoT #SustainabilityInTech #EnergySolutions #TechGiants

AI and Edge Computing—Empowering Smarter, Faster Decisions 🌐🤖 In today’s hyper-connected world, the combination of Artificial Intelligence (AI) and Edge Computing is revolutionizing how we process and utilize data. By bringing computation closer to the data source, this duo ensures faster responses, reduced latency, and enhanced privacy. --- How AI and Edge Computing Work Together 1️⃣ Data Processing at the Source Edge devices process data locally, reducing the need to send large amounts of information to centralized cloud systems. 2️⃣ Real-Time Decision Making AI models deployed on edge devices provide instant insights and actions, making them ideal for time-sensitive applications. 3️⃣ Enhanced Privacy By processing sensitive data locally, edge computing minimizes the risk of data breaches and enhances user privacy. 4️⃣ Reduced Latency Edge AI eliminates delays by processing data where it is generated, ensuring seamless experiences in applications like gaming, AR/VR, and IoT. 5️⃣ Cost Efficiency By reducing cloud dependency, businesses save on bandwidth and cloud storage costs. --- Applications of AI and Edge Computing 🚗 Autonomous Vehicles: Process sensor data in real-time to make driving decisions. 🏭 Smart Manufacturing: Optimize production lines with AI-powered edge devices monitoring machinery. 🏠 Smart Homes: Enable AI-driven automation, such as security cameras and voice assistants. 🌍 IoT and Smart Cities: Manage energy grids, traffic flow, and environmental monitoring. 🎮 AR/VR Experiences: Deliver low-latency interactions for immersive gaming and training. --- Challenges to Address Hardware Limitations: Building AI models that run efficiently on edge devices with limited computational power. Scalability: Managing thousands of edge devices in a network. Model Updates: Ensuring AI models deployed on edge devices stay current without disrupting functionality. --- Why This Matters The combination of AI and edge computing represents the next step in digital transformation. It empowers smarter decisions, faster responses, and more secure systems, making it a game-changer for industries worldwide. --- The Future of AI is at the Edge Imagine a world where decisions are made instantly, securely, and closer to where they matter. AI and edge computing are making this vision a reality, unlocking endless possibilities for innovation. Let’s connect and discuss how this technology can shape the future of your industry! #AI #EdgeComputing #ArtificialIntelligence #IoT #Innovation #SmartTech #MachineLearning #satmis

AI: Reshaping Business in 2025 and Beyond Imagine a world where technology doesn't replace human talent, but dramatically amplifies our capabilities. Gartner's recent insights reveal a transformative landscape where artificial intelligence is becoming a strategic business utility, not just a buzzword. Key Developments for Forward-Thinking Businesses: - AI as a Service: Plug-and-play solutions that solve complex problems - Hyper-Personalisation: Intelligent systems understanding individual preferences - Workflow Augmentation: AI tools acting as decision-making agents - Industry-Specific Cloud Solutions: Tailored technological ecosystems Are you prepared for an AI-powered business transformation? Companies investing in strategic AI integration are positioning themselves for unprecedented competitive advantages. With IT spending increasing by 7.5% in 2024, the message is clear: adaptation is no longer optional. Critical sectors like healthcare, customer service, and product development will experience radical reimagining. Custom GPTs are set to make traditional SaaS solutions obsolete, while IoT integration promises technologies we've barely imagined. How is your organisation preparing for this intelligent revolution? The future belongs to those who proactively embrace technological evolution. #ArtificialIntelligence #BusinessInnovation #AITransformation #FutureOfWork #TechTrends #DigitalStrategy

🌐 Emerging Network Technologies: revolutionizing the telecommunications landscape 🌏🚀 In the #telecommunications sector, emerging network technologies are creating a new horizon of opportunities and innovation! Here are some of the main technologies transforming the way we connect 👇 1️⃣ 5G: the new era of speed #5G is not just a simple evolution of 4G; it represents a true revolution. With speeds up to 100 times faster and near-zero latency, 5G enables advanced applications such as augmented reality, telemedicine, and the Internet of Things (#IoT) on a large scale. Companies can thus expect greater operational efficiency and new business models. 2️⃣ Cloud Computing: flexibility and scalability Cloud computing is redefining IT infrastructure, allowing companies to scale quickly and access unlimited computational resources. Combining cloud with 5G enables real-time data processing, enhancing the efficiency and innovation of offered services. 3️⃣ Edge Computing: data closer to the point of use With edge computing, data is processed near the source, reducing latency and improving response speed. This is crucial for critical applications such as autonomous vehicles and smart manufacturing, where every millisecond counts. 4️⃣ Artificial Intelligence and Machine Learning: smarter decisions Integrating AI and machine learning into networks allows for optimizing operations, predicting failures, and improving user experience. These technologies are essential for managing the increasing complexity of modern networks. 5️⃣ Network Slicing: network customization With network slicing, it is possible to create virtual networks tailored to specific needs, ensuring optimal performance for various applications, from industrial to consumer. These technologies, converging with each other, are shaping the future of telecommunications, offering innovative solutions and added-value services. Companies that know how to take advantage of these opportunities will be able to gain a significant competitive edge! 👉 Learn more about how we are integrating these technologies to bring innovation to our customers. Visit our website: https://www.swisstlc.com/ #AI #MachineLearning #EdgeComputing #NetworkSlicing

Honeywell has partnered with Google to deploy its Gemini generative AI for the industrial sector, aiming to enhance productivity, reduce maintenance costs, and support workforce upskilling. Starting in 2025, Honeywell’s industrial clients will leverage generative AI insights through the Honeywell Forge IoT platform, powered by Google Cloud’s Vertex AI and Gemini AI models. Honeywell CEO Vimal Kapur highlighted the collaboration’s potential to address labor shortages by empowering employees to operate at a higher skill level using AI co-pilots. The partnership enables predictive maintenance, troubleshooting, and on-site AI queries, such as “Why is my system making this sound?” Honeywell is also exploring Gemini Nano, an on-device AI, to support rural and offline operations across sectors like data centers and hospitals. With AI adoption still low, Kapur anticipates rapid growth in 2025-2026. #Honeywell #GoogleAI #GenerativeAI #IndustrialAI #GeminiAI #PredictiveMaintenance #Automation #IndustrialInnovation #HoneywellForge #AIinIndustrials #AI #Google #TechNews #VimalKapur #GoogleCloud #CoPilot

🚀 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲, 𝗖𝗼𝗽𝗶𝗹𝗼𝘁, 𝗮𝗻𝗱 𝗙𝗮𝗯𝗿𝗶𝗰 🌐 Microsoft is redefining the future of manufacturing with cutting-edge technology that enhances productivity, collaboration, and decision-making: ➤ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰: Seamlessly integrates operational technology (OT) data from factory sensors with IT data like inventory levels, creating a unified platform for real-time insights and advanced analytics. ➤ 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝗖𝗼𝗽𝗶𝗹𝗼𝘁: Empowers frontline workers with AI-driven copilots that streamline processes, resolve issues faster, and improve training—all through natural language commands. ➤ 𝗔𝘇𝘂𝗿𝗲 𝗜𝗼𝗧 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Modernizes factories by connecting cloud and edge infrastructure, making AI solutions scalable across production sites and improving overall operational efficiency. These innovations not only boost efficiency and collaboration but also support sustainability and regulatory compliance, helping manufacturers stay competitive in a rapidly evolving market. Follow Neev Systems for more insights! #FoundationForFuture #ManufacturingInnovation #AzureAI #IoT #SmartFactories #DigitalTransformation #AIInManufacturing #Industry40 #CloudComputing #OperationalEfficiency #Sustainability #USAManufacturing

In today's fiercely competitive landscape, a company's survival hinges on its ability to innovate and launch new products. In the next five years, about $30 trillion in corporate revenues will come from products that haven't hit the market yet. Staying ahead of the curve means embracing digital twin technology to revolutionize product development. What Are Digital Twins? Digital twins are virtual replicas of physical products, simulating all the characteristics of their real-world counterparts. By leveraging advanced computing power, analytics, and AI, digital twins allow companies to: Accelerate Development: Speed up design and engineering cycles by simulating thousands of configurations rapidly. Cut Costs: Reduce R&D expenses through process optimization and fewer physical prototypes. Enhance Testing: Evaluate new designs in various scenarios, including extreme conditions, without the need for physical testing. Gain Insights: Monitor product behavior in real-time and trace complex interactions between components. Integrate Real-World Data: Use data from actual product use to inform and refine future designs. The Impact of Digital Twins Early adopters of digital twin technology report significant improvements: Development Time: Some companies have reduced total development times by 20-50%. Prototype Reduction: The number of preproduction prototypes can drop from two or three to just one. Quality: Products developed using digital twins have 25% fewer quality issues when they enter production. Sales: Companies report 3-5% higher sales of digital-twin-based products due to better features and improved customer satisfaction. Revenue Growth: Digital twins enable predictive maintenance and in-service performance optimization, increasing revenues by 5-10% in some product categories. A New Way of Working Integrating digital twin technology early in the product development process allows for faster, more efficient workflows and brings companies closer to their customers. Complex machines that are typically customized for each client can now be fully simulated before final approval, reducing post-delivery modifications and ensuring the product meets customer needs right from the start. The Future of Digital Twins As IoT, AI, and other technologies advance, digital twins will evolve, becoming more autonomous and capable of generating new insights independently. They will interact with each other, simulating complex environments like city transport systems or multistakeholder supply chains. Digital twins are more than just a trend—they're the future of smart product development. Don't get left behind. Embrace the potential of digital twins today! #DigitalTwins #ProductDevelopment #Innovation #Technology #FutureOfTech #AI #SmartProducts