• Künstliche Intelligenz in Produktion & Beschaffung

  • Machine Learning in Manufacturing: Present and Future Use-Cases - Jon Walker

    Artikel

    Abstract Major companies including GE, Siemens, Intel, Funac, Kuka, Bosch, NVIDIA and Microsoft are all making significant investments in machine learning-powered approaches to improve all aspects of manufacturing. The technology is being used to bring down labor costs, reduce product defects, shorten unplanned downtimes, improve transition times, and increase production speed.

    10 Ways Machine Learning Is Revolutionizing Manufacturing In 2018 - Louis Columbus

    Artikel

    Abstract Machine learning algorithms, applications, and platforms are helping manufacturers find new business models, fine-tune product quality, and optimize manufacturing operations to the shop floor level.

    Predictive maintenance and the smart factory - Deloitte

    Report

    Abstract Traditionally, maintenance professionals have combined many techniques, both quantitative and qualitative, in an effort to predict impending failures and mitigate downtime in their manufacturing facilities. Predictive maintenance offers them the potential to optimize maintenance tasks in real time, maximizing the useful life of their equipment while still avoiding disruption to operations.

    Digital Factories 2020: Shaping the future of manufacturing - PriceWaterhouseCoopers

    Report

    Abstract Our research shows that leading industrial companies have moved beyond pilot projects and are already investing in rolling our digital solutions. In this report, we provide an overview of how far industrial companies have come and what challenges they face.

    AI Can Help Procurement Reach The High-Hanging Fruit - Simon Smith

    Artikel

    Abstract Machine learning is a great fit for procurement. Purchasing generates lots of data to learn from. And there’s a clear path to ROI.

    But today, procurement leaders prioritize baseline analytics over AI. Challenges with data quality, integration and availability inhibit more advanced machine learning. Yet analytics can only identify low-hanging fruit for savings. Not high-hanging fruit, like subjective bias. There’s hope, however. Because AI isn't only for novel insights from reliable, robust data. It can also help get your data that way in the first place.

    Prepare for the Impact of AI on Procurement - Rob van der Meulen

    Artikel

    Abstract AI will have a disruptive impact on procurement technology. Application leaders in procurement need to ensure access to the right skills and data to be able to leverage these new capabilities. This research provides recommendations on how to adopt and get value from AI in procurement.