Smart Connected Vehicles Innovation Centre’s Post

🚀 Exciting News! 🚀 DataArt Shines in Forbes Technology Council's Latest Piece on AI-Powered Analytics in Manufacturing! 🌟 I am thrilled to share that DataArt has been prominently featured in the latest Forbes article discussing the cutting-edge role of #AI in revolutionizing the manufacturing sector! 🏭✨ Highlighted in this insightful piece, our very own Yuri Gubin from DataArt emphasizes the significance of exploring AI beyond the conventional realms of predictive maintenance and quality control. 💡 🔍 By leveraging computer vision systems, Yuri suggests a groundbreaking approach: training workers in new production steps and assembly operations. This game-changing strategy allows for immediate feedback, empowers workers to identify errors, and facilitates independent skill enhancement! 💪💼 The impact? 🌐 Reduced training time, heightened efficiency, and impressive returns on investment! 💰 At DataArt, we're proud to be at the forefront of innovation, driving tangible results and redefining industry standards. 🚀 Stay tuned for more groundbreaking insights as we continue to lead the charge in leveraging AI to transform manufacturing! 🌟💼 #DataArt #Forbes #Innovation #Technology #ArtificialIntelligence

#AI is revolutionizing the technology!💡 Meet DataArt at the World Aviation Festival 2024 in October to discuss how #ArtificialIntelligence can help #aviationindustry to shine brighter 🔑

Fast is the New Smart | 5 Tips for Faster, Smarter Factories As the world wakes up to the promise of AI, manufacturers must embrace this technology in a way that drives real value across the factory value chain. According to a recent survey by The Manufacturer, AI ranks as the fourth highest priority for manufacturing leaders in 2024. Yet, despite the potential, only 9% of manufacturing organisations are currently leveraging AI. But that same research also shows that 63% don’t know where to start... The Data Shack has spent over 20 years advising some of the best-run factories. Last year we launched Sigmafi, smart factory in-a-box solutions designed to deliver AI and data science within Six Sigma methodology, de-risk your investments, and deliver a faster path to smarter manufacturing. In this video you will learn: * 5 tips to smart factory and AI deployment * How Sigmafi delivers smart factory in-a-box solutions * How Fast is the new Smart For more info, Reach out to us: www.data-shack.co.uk | [email protected] | +44 1904 809 789 Data-Shack Limited Anni Toner (Russell) Al Herron Sherlock Holmes Joshua Bancroft https://lnkd.in/ddZg2ThR

AI-powered decisioning has the potential to transform the manufacturing industry, enabling companies to navigate the complexities of day-to-day market shifts. 🌐 By converting data into insights, speed-reading market conditions, and interpreting signals, manufacturers can optimize efficiency, growth, and responsiveness to trends and customer needs. While challenges remain, partnering with the right technology providers can help manufacturers leverage AI to its fullest potential. While the pace of AI advancements can be intimidating—these tools are extremely powerful. So, it's well worth the time to take a thought-out approach. These initiatives could provide manufacturers opportunities to solve emerging challenges and achieve greater profitability. Read more: https://hubs.la/Q02PhJhC0 #Innovation #Technology #Engineering #Manufacturing #Maintenance #Industrial #Manufacturer #IndustrialManufacturing #BeckwoodPress

Exciting news! Prof. Marek Kowalkiewicz, one of the world's foremost thought leaders on AI, will deliver this year's keynote presentation at SAP Transformation Excellence Summit 2024 in Gold Coast! Drawing from his book "The Economy of Algorithms: AI and the Rise of the Digital Minions," Marek will cut through the hype and explore the tangible realities of business transformation in the age of AI. Prof. Kowalkiewicz will delve into: • The "botterfly effect," where small AI interventions create massive organizational ripples • How to recognize "botshit," "phantom AI," and other pitfalls and false promises in the AI landscape • The concept of digital minions and how AI can be leveraged as a force multiplier for human potential. • Practical strategies for fostering an algorithmic enterprise that drives revenue automation and customer relationship saturation Save the date (9/11 - 9/12) and join us to interact with Prof. Kowalkiewicz and experts from other leading brands across the globe! Register today! https://sap.to/6044WztXQ #SAPTESummit

Attention-grabbing AI Statistic: According to a recent McKinsey report, 63% of organizations have accelerated their adoption of AI and automation technologies in 2024 due to the disruptions of the past year. The rapid transformation of the business landscape in 2024 has made AI-powered automation a critical competitive advantage. As organizations seek to streamline operations, boost productivity, and deliver better customer experiences, tools like Docspark's intelligent document processing are becoming essential. This AI-driven technology can extract, classify, and analyze data from various document types with unprecedented speed and accuracy, freeing up teams to focus on high-value work. By leveraging AI to automate mundane, time-consuming tasks, businesses can realize significant time and cost savings while improving overall efficiency. To stay ahead of the curve, I recommend that companies explore how AI-powered automation can optimize their document-centric workflows. Docspark's user-friendly platform provides a powerful yet accessible way to implement these transformative technologies, even for organizations without extensive AI expertise. #AI #2024AITrends #Automation #DocumentProcessing #Docspark Have you started exploring AI-driven automation in your business? I'd love to hear your thoughts on the challenges and opportunities presented by this rapidly evolving technology landscape. Let's discuss! https://bit.ly/docspark-io

AI Analytics In Manufacturing: Top Strategies From Tech Experts accoridng to Forbes Technology Council Technological advancements have always driven productivity in manufacturing. The industry is undergoing a digital transformation, leveraging AI-powered analytics to derive valuable insights from production data. AI applications in manufacturing are diverse, enhancing process optimization, equipment failure prediction, and customer and worker satisfaction. Members of the Forbes Technology Council suggest strategies for using AI to improve efficiency, safety, and cost savings, including gaining visibility into production processes, uncovering inefficiencies, ensuring quality assurance, optimizing energy usage, fostering innovation, and predicting maintenance needs. Great insights on a critical "must do" for the Manufacturing companies today. https://lnkd.in/dbMjfXk7 #AIAnalytics #Manufacturing #TechExperts #ForbesTechnologyCouncil #DigitalTransformation #Productivity #ProcessOptimization #EquipmentMaintenance #QualityAssurance #EnergyOptimization #Innovation #Efficiency #Safety #CostSavings #ManufacturingInsights

In the fast-paced world of manufacturing, the demand for enhanced operational efficiency, cost reduction, and uncompromising quality standards is relentless. At Abacus.AI, we understand the unique hurdles manufacturers face, because we have helped dozens of Fortune 500 companies with our cutting-edge solutions: 🔧 Minimize Downtime and Maintenance Costs: Our AI-driven predictive maintenance solutions drastically reduce unexpected downtimes, ensuring your production lines are always running at peak efficiency. 🔍 Enhance Quality Assurance: Deploy machine learning models that detect defects in real-time, minimizing waste and guaranteeing that only top-quality products reach your customers. 📦 Optimize Your Supply Chain: Utilize AI to gain deep insights into your supply chain, optimize inventory levels, and improve demand forecasting, all while reducing costs and boosting delivery performance. 📊 Empower Data-Driven Decision Making: Turn your data into actionable insights with our AI solutions, enabling you to make informed decisions that propel growth and innovation. By integrating AI into your operations, you can not only tackle these critical challenges but also position your company as a leader in the industry. Our team at Abacus.AI can help you to tailor solutions that meet your specific needs and drive measurable results. Let's explore how we can help you achieve your strategic goals and transform your manufacturing processes! 🤝 #Manufacturing #AI #Innovation #PredictiveMaintenance #QualityAssurance #SupplyChain #DataDriven #AbacusAI #Technology #DataScience #MLOps #MachineLearning

Half of supply chain leaders are gearing up for the future with plans to implement generative AI (GenAI) in the next 12 months with 14% already in implementation stage, as per a recent survey by Gartner, Inc. This cutting-edge technology is set to revolutionize the supply chain orchestration landscape, bringing forth a wave of opportunities and advancements. Gen AI will empower users of the APS platform in various ways: Learn Faster: 💡 Traditional planners grappling with intricate algorithms will find solace in Gen AI, simplifying complex optimization solves into easily digestible insights. This shift towards user-friendly interactions will not only enhance tool adoption but also democratize the planning space. Create Faster: ✍ By automating the process of modeling and authoring key resources, Gen AI will eliminate the need for advanced coding skills. With a co-pilot that generates scripts and visualizations, configuring complex requirements will become swift and scalable. Solve Faster: ➕ The mundane task of resolving planning exceptions will witness a transformation with Gen AI-driven automation. From flagging key exceptions to resolving exceptions within tolerances based on predefined action rules, this technology will provide planners with a dynamic and intuitive interface, ultimately streamlining the planning process. While embracing Gen AI holds immense potential, organizations must tread cautiously. Mitigating risks associated with incomplete or inaccurate data is paramount to harnessing the true value of this integration. Opting for a domain-specific approach, rather than a broad use-case strategy, will be key to navigating the evolving landscape of GenAI integration effectively. #SupplyChain #GenAI #FutureOfTechnology #Innovation #GartnerSurvey #Supplychainorchestration #Planning #Optimization

👉 "A large majority remain stuck in pilot purgatory, struggling to capture the full potential of their transformation efforts or deliver a satisfactory return on investment" I wanted to highlight this segment from the McKinsey report for Ewelina Gregolinska that finds me perfect aligned. 🖥 While the advent of Industry 4.0 machines capable of collecting vast amounts of data is a significant advancement, the challenge remains in effectively leveraging this data. It is now crucial to adopt AI technologies to create new use cases and enhance existing practices, thereby elevating the industry to a new level. #Industry40 #AI #Innovation #DataAnalytics #DigitalTransformation #FutureOfIndustry #Technology #Manufacturing #SmartIndustry