EmpowerMX’s Post

Some of the benefits of using AI for visual quality inspections include: - Increased accuracy: with Deep Learning, businesses can detect defects with much greater accuracy than humans can. - Improved quality: by detecting defects early in the production process, businesses can improve the overall quality of their products. AI-powered defect detection can automate the process of inspecting visual data for defects, which can save businesses time and money. Neurala Read more about this topic: https://lnkd.in/dvzVqGA #product #process #defect #quality #ai

💡 Expert Insight 💡     This month, our Expert Insight piece ‘Artificial Intelligence (AI) for Complex Planning and Logistics Operations’ comes from NSC Director, Professor John McCall 💭    John explains the integral role of AI in planning and logistics, including the significant impact it will have in the energy transition and wider global environmental challenges 🚢🚚   #ResearchImpact #ThoughtLeadership #ArtificialIntelligence #Logistics  

🔍 Exciting Developments in Brake Noise Detection! 🔍 🚗 I'm thrilled to share a groundbreaking advancement at Applus+ IDIADA! 🚀 We've harnessed the power of AI to revolutionize brake noise detection, correlating seamlessly with subjective ratings. 🤖🔊 This cutting-edge technique, exclusively developed at Applus IDIADA, marks a significant leap forward in brakeengineering. Curious to delve deeper into the details? 📖 I invite you to explore our recent article on The BRAKE Report webpage. 🌐 Let's unravel the synergy between AI and subjective rating in brake noise analysis. Check out the article here: https://lnkd.in/dS4FSxYW 🔗 #AI #EngineeringInnovation #BrakeNoise #AutomotiveTech Your insights and thoughts on this transformative approach are highly valued. Let's drive the conversation forward! 🚀🎶

The Impact of AI and Machine Learning on Fleet Management Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing fleet management, offering innovative solutions to optimize operations and enhance decision-making. Here’s how AI and ML are transforming the industry: 1. Predictive Maintenance: AI algorithms analyze vehicle data to predict maintenance needs before issues arise, reducing downtime and maintenance costs. 2. Route Optimization: ML models process real-time traffic data and historical patterns to suggest the most efficient routes, saving time and fuel. 3. Driver Behavior Analysis: AI-powered systems monitor and analyze driver behaviors, providing insights and training recommendations to improve safety and performance. 4. Fuel Efficiency: AI helps identify factors affecting fuel consumption and suggests actionable steps to improve efficiency and reduce costs. 5. Enhanced Fleet Visibility: AI-powered analytics provide deeper insights into fleet operations, helping managers make data-driven decisions. 6. Automated Reporting: AI automates compliance and performance reporting, reducing administrative burdens and ensuring accuracy. 7. Real-Time Alerts: AI systems provide real-time alerts for potential issues, such as engine problems or unsafe driving behaviors, allowing for immediate action. By integrating AI and ML into fleet management, companies can achieve greater efficiency, cost savings, and safety, setting a new standard for the industry. #FleetManagement #AI #MachineLearning #Transportation #Logistics #PredictiveMaintenance #RouteOptimization

Intelligent transportation systems are becoming a cornerstone technology in the logistics industry. AI in transportation goes beyond self-driving cars and its utilization in logistics and transportation can lead to considerable advantages! Check out our new blog “Transportation Innovation in the Age of AI” to learn more on this fascinating topic!   Read now https://lnkd.in/ehf5WpeN #TMS #AI #blog #logistics #transportation #innovation #transportmanagement #supplychain

Below another example of Applus+ IDIADA capabilities to implement advanced machine learning models and algorithms into automotive engineering 🤖 🔗 🚗 In this case, we've harnessed the power of AI to revolutionize brake noise detection, correlating seamlessly with subjective ratings. 🤖🔊 This cutting-edge technique, exclusively developed at Applus+ IDIADA, marks a significant leap forward in brake engineering. Curious about details? 📖 Check the post and links from my colleague Fabio Squadrani below. If you need to know more about this or other ML/AI initiatives for the automotive sector, contact us at: 👉🏼 [email protected]⁣ 👉 [email protected]

It's encouraging to see an increasing number of organizations in South Africa adopting hyper automation advanced technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA) by integrating various technologies to develop more intelligent and adaptive systems capable of handling a wider range of tasks learning from data to increase efficiency and improving customer experience. #4IR #Technology #RPA #AI #ML #CustomerExperience

Get AI in on it. With AI, you can save time and create better more accurate project and status reports. In this webinar, Peter Kestenholz takes you through how to build your own AI that can help you analyze large amounts of data, get insights, custom-create prompts for your organization, and much more. Sign up here: https://lnkd.in/ebNFrNdN

🧠 Discover the potential of #ArtificialIntelligence! 🌐 #AI is no longer a futuristic concept, but a concrete reality that is transforming several #Industries. From the #Automotive industry to market analysis, AI applications are becoming more and more widespread and accessible. 💡 With platforms like BigProfiles, the use of Artificial Intelligence becomes simple and affordable for everyone. Without the need for in-depth technical knowledge, large amounts of #Data can be analysed in #RealTime and #PredictiveModels can be created to optimise #BusinessStrategies. 🚀 Harness the full potential of your data with BigProfiles and stay one step ahead in the competitive digital arena. #BigData #Innovation #DataDrivenStrategies https://lnkd.in/dx_8KC3U

Here is a really interesting use case for #AI in #manufacturing: a trained #MachineLearning model assigns a defect score to a product (here wood boards like the ones used in construction): the higher the score, the lower the quality. The customer decides on cut-off values and based on those all boards can be quickly and automatically sorted into different quality categories. What works for wood boards also works for a large array of other products. https://lnkd.in/g27yTafV