Tag: Manufacturing

Building a smart, connected product or machine that enables digital customer engagement, delights users, and enables new revenue streams can be challenging. You have to build secure applications that can ingest fleet data, and scale up and down as needed. You need visibility into how people are using your products and machines and how the […]

Across the manufacturing and field service domains, organizations face the need to derive new solutions to support and grow frontline worker capabilities. Challenging trends in industrial workforces are weighing on productivity, efficiency, and worker safety. Enterprises must contend with a growing knowledge and skills gap, as aging workforces retire and take with them vital institutional […]

In the rapidly evolving automotive industry, manufacturers and suppliers must proactively address the challenges of managing vast amounts of data and documentation to streamline operations. These challenges include paper documents, disparate document versions and folder structures, collaboration with other plants, and finding important information when needed, especially when it comes to mitigating the disruptive impact […]

Challenges in modernization The journey to modernize legacy monolith applications is complex and often spans years in which organizations face several obstacles before achieving success. A key challenge is verifying that the business processes impacted by the change continue to run seamlessly during and after the transition. Organizations must decide between a large big-bang cutover […]

This blog is the second in a two-part series that distills some of the most important best practices to help organizations accelerate the implementation of an Industrial Data Fabric (IDF) solution on Amazon Web Services (AWS) and increase the value it brings enterprise-wide. The best practices are organized by stage, as shown in figure 1 […]

Industrial Data Fabric (IDF) solutions on Amazon Web Services (AWS) enable manufacturing and industrial companies to build the foundation for digital transformation to help optimize operations. IDF helps align different data types in the time domain with context as it combines many disparate data sources like time series data from machines, maintenance data from EAM […]

The BMW Group and Amazon Web Services (AWS) announced a strategic collaboration in 2020. The goal of that collaboration is to help further accelerate the BMW Group’s pace of innovation by placing data and analytics at the center of its decision-making. The BMW Group’s Cloud Data Hub (CDH) manages company-wide data and data solutions on […]

Digital transformation is a strategic business initiative enabled by digital technologies that aims to maximize business outcomes. This blog post introduces an iterative approach to digital transformation – the Digital Transformation Flywheel – that can be used to help guide and accelerate the business transformation of large scale enterprises. Selected examples from our collaboration with […]

Using advanced node technology to successfully manufacture a chip is getting harder as chip geometries continue to shrink. Electronic Design Automation (EDA) consumes more compute, storage, and time. Giving your engineers more time to iterate and find bugs in the design and verification phases will result in saving millions in re-spins and lost revenue. Further […]

Introduction Amazon Web Services (AWS) is helping power digital transformation to improve food sustainability for suppliers, manufacturers, logistics, consumers, and everyone in between. Announced on Oct. 8, AWS and Carrier are collaborating to innovate and develop Lynx, a digital platform that unifies the highly fragmented cold chain to reduce food spoilage, support end-to-end visibility, and […]