Tag: AWS for Industrial

Introduction Makino Milling Machine Co. (Makino), a Japanese milling machine manufacturer, has successfully launched a robot control system over a 5G network in less than 5 months. Makino has improved the stability of wireless communication between its moving Autonomous Mobile Robot (AMR) and the control server using the 5G network and Amazon Web Services (AWS). […]

Manufacturing semiconductor devices using advanced nodes have many challenges, but perhaps none is more directly linked to the company’s profitability and competitive position than yield. Yield improvements directly reduce the cost of manufacturing a single die while also helping the company amortize the development costs across more dies. There are great commercial products helping customers […]

Semiconductor yield analysis has evolved over time from simply comparing “good units” vs “bad units” to a deeper dive into data science to understand and mitigate a wide range of contributing factors. While yield-reducing manufacturing defects have been around since the invention of the integrated circuit, today there are other design, process, and market dynamics […]

Introduction With the successful use of cloud computing in the IT space (analytics, simulation and workflow management), companies in highly regulated industries, such as railways, increasingly look at also migrating their OT systems (control systems, real-time monitoring, and transaction management) into the cloud. The main motivations for this are to achieve high availability and redundancy […]

Introduction Georgia-Pacific embarked on a cloud application modernization and resiliency improvement journey. In this blog post, we look at how Georgia-Pacific transitioned their Disaster Recovery (DR) processes from largely a manual effort to a more automated one, improving their application resiliency at scale in AWS using AWS Resilience Hub. About Georgia-Pacific Georgia-Pacific, owned by Koch Industries, […]

Introduction Artificial intelligence (AI) and machine learning (ML) have been a focus for Amazon for decades, and we’ve worked to democratize ML and make it accessible to everyone who wants to use it, including more than 100,000 customers of all sizes and industries. This includes manufacturing companies who are looking beyond AI/ML to generative AI […]

As organizations embrace the dual mission of profitability and sustainability, efforts to mitigate climate change are at the top of the agenda. Sustainability has already become an integral part of business decision making; consumers and corporate purchasers increasingly consider carbon footprints when they make buying and investment decisions per a McKinsey study. Industry 4.0 solutions […]

The coming decade will present the manufacturing sector with substantial challenges, as well as incredible opportunities for growth and innovation. Recent history has shown that manufacturers of all sizes need to be as flexible and resilient as possible to weather these storms and optimize their operations. Looming economic uncertainty puts extra emphasis on this. Forrester’s […]

Introduction Machine learning (ML) has become a core technology in manufacturing, but it can be difficult to know which ML services and tools are best for your industrial operations. We will define and explain the use cases of when to use different Amazon Web Services (AWS) ML services. In an age of rapid innovation, manufacturing […]

Introduction We’re in the midst of a significant transformation regarding the way we produce products, thanks to the digitization of manufacturing. This transition is so compelling that it is being called Industry 4.0 to represent the fourth revolution that has occurred in manufacturing. From the first industrial revolution (mechanization through water and steam power) to […]