Hitachi’s Post

With the latest emergence of AI driving a demand for high quantities of data, more and more storage components are required. However, most of the physical components that store this digital data are primarily made of plastic, posing environment challenges.   ♻️Discover how to increase the use of recycled plastic while maintaining high quality standards: https://lnkd.in/e4timCMw #DX #Recycling #SocialInnovation

With the latest emergence of AI driving a demand for high quantities of data, more and more storage components are required. However, most of the physical components that store this digital data are primarily made of plastic, posing environment challenges.   Discover how to increase the use of recycled plastic while maintaining high quality standards ♻️ : https://lnkd.in/gpezf2dP   #DX #Recycling #SocialInnovation

Seeing is believing! There’s a long way to go to hit Net-zero targets for a number of organisations so it’s important to understand exactly “how” manufacturers/Vendors are delivering against their Green agenda to the benefit of society. Question, would knowing this detail make you consider looking closer at Hitachi technologies? #sustainability #sustainablearchitecture #reducingcarbonfootprint #hitachivantara

Cutting-edge tech is transforming the way we manage supply chains. From reducing costs with #autonomousvehicles 🚚 to enhancing decision-making with #bigdata #analytics 📊, and ensuring continuity through #digitaltwins to #5g Technology which empowers you📡 with improved connectivity and #AI and #machinelearning that continue to optimize operations. Which innovation will power the of supply chains of the future? #technology #digitaltransformation #supplychain #innovation

The Key Role Of Automation In AI Hardware Recycling As the tech industry races to innovate, particularly in the realms of AI and cloud computing, the environmental cost of rapid hardware turnover in data centers is becoming an increasingly critical issue. With generative AI propelling demand for more advanced infrastructure, the lifecycle of data center hardware is shortening, leading to a staggering amount of e-waste. Annually, data centers are a significant contributor to the 50 million tons of electronic waste generated worldwide, yet only a mere 20% of this is recycled, underscoring a pressing need for sustainable solutions. #Circular manufacturing emerges as a beacon of hope in this scenario, offering a path to reusing and recycling valuable server components like CPUs and memory modules. This model not only mitigates waste but also aligns with the growing demand for #AI infrastructure, which is expected to significantly boost server production numbers in the coming years. Companies like Microsoft and Amazon Web Services (AWS) are already pioneering circular recycling systems for their data centers, setting an industry standard that others must follow. The transition to automated, software-driven disassembly offers a promising solution to the e-waste challenge, presenting a more efficient, safer, and environmentally friendly alternative to manual recycling methods. This approach not only ensures a higher recovery rate of valuable components but also enhances security by meticulously tracking and managing the disassembly process. Moreover, the data gleaned from automated disassembly can drive better design decisions, promoting a more sustainable and circular tech ecosystem. As we stand at the crossroads of innovation and sustainability, it's imperative for the tech industry to embrace #circular manufacturing and automated recycling. Doing so will not only reduce the environmental impact of rapid technological advancements but also support the sector's growth in a more responsible and sustainable manner. #CircularEconomy #SustainabilityInTech #DataCenterRecycling #Ewaste #AIInfrastructure My name is Dennis Dahrendorff and for more than 10 years I am globally known as a Circular Tech Expert. Follow my profile for Circular Tech updates and let me know whether you need support on challenges around your Circular Supply Chain.

This year Lenovo was part again of the Digital Transformation Week in Amsterdam. Some of the topics we covered: - Sustainability: we help you extend the lifecycle of your IT products, significantly reducing waste while supporting your CO2 reduction and circularity goals. For example - our innovative AI tool, LISSA, identifies opportunities for lowering your CO2 emissions and empowers you to make informed purchasing decisions that align with your sustainability objectives, demonstrating how AI and sustainability can work hand in hand. (AI meets Sustainability) - Smarter AI: We can help you with smarter AI solutions that drive efficiency and innovation. For example, we have worked together with a global retail provider enabling them to analyze real-time data from over 1,000 stores. This improved their inventory management, reduced shortages, and enhanced customer experiences, resulting in a 30% increase in sales. Please reach out for a conversation to see how we can support you in your AI and Sustainability journey. #wearelenovo

Despite the emphasis on digital transformation, achieving a fully connected factory is proving difficult. Over half of manufacturing leaders plan to enhance visibility across production by 2029, yet many struggle with agreeing on investment priorities and keeping pace with technological innovation. As manufacturers look to augment their workforce with AI and new technologies, reskilling labour and implementing advanced tools like mobile computers and wearable tech will be crucial for building a future-ready manufacturing environment. #Manufacturing #DigitalTransformation #AI #TechInnovation #Technologies

Our survey results are in! Read our blog post for a sneak peak at our #manufacturing technology survey for 1H 2024. These data-driven trends will help you understand what challenges your customers are facing and their perception toward various technologies. https://lnkd.in/ene7r7Be #manufacturer #digitaltransformation #genai #privatecellular #5g #esg #industrial #metaverse

#Manufacturing often conjures up traditional images of sprawling production lines, physical processes and skilled manual labour. And yet, #digitaltechnologies like Industrial Internet of Things (IIoT), automation, and data analysis have been rapidly giving the industry a substantial makeover. The new kid on the block that’s proving to be a catalyst for is #GenAI. At Cloud Kinetics, our manufacturing customers are seeking out GenAI-powered #datasolutions to fight downtime, outdated systems, inefficiencies and blind spots on their shop floors and supply chains. And the solutions we explore? Think AI-powered maintenance that predicts problems before they happen, and real-time, self-service data dashboards for smarter decisions. #Datadashboards powered by GenAI can translate to self-service analytics and data-driven decisions that streamline operations and unlock efficiency. #Predictivemaintenance with AI & AWS Bedrock, for instance, minimizes downtime, optimizes asset performance, and ultimately saves manufacturers money. There’s much to be done and we’re excited to tackle these custom needs for our Manufacturing customers! Ready to join the Manufacturing 5.0 revolution? Let's discuss how the right AI & data solutions can help you achieve operational excellence and optimize your supply chain. Connect with us here: https://lnkd.in/gSVkhH6y #smartmanufacturing #industrial #manufacturing5.0 #GenAI #transformingmanufacturing

#Manufacturing often conjures up traditional images of sprawling production lines, physical processes and skilled manual labour. And yet, #digitaltechnologies like Industrial Internet of Things (IIoT), automation, and data analysis have been rapidly giving the industry a substantial makeover. The new kid on the block that’s proving to be a catalyst for is #GenAI. At Cloud Kinetics, our manufacturing customers are seeking out GenAI-powered #datasolutions to fight downtime, outdated systems, inefficiencies and blind spots on their shop floors and supply chains. And the solutions we explore? Think AI-powered maintenance that predicts problems before they happen, and real-time, self-service data dashboards for smarter decisions. #Datadashboards powered by GenAI can translate to self-service analytics and data-driven decisions that streamline operations and unlock efficiency. #Predictivemaintenance with AI & AWS Bedrock, for instance, minimizes downtime, optimizes asset performance, and ultimately saves manufacturers money. There’s much to be done and we’re excited to tackle these custom needs for our Manufacturing customers! Ready to join the Manufacturing 5.0 revolution? Let's discuss how the right AI & data solutions can help you achieve operational excellence and optimize your supply chain. Connect with us here: https://lnkd.in/gSVkhH6y #smartmanufacturing #industrial #manufacturing5.0 #GenAI #transformingmanufacturing