Tag: AWS for Industrial

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 […]

Introduction This blog will help you understand how you can utilize Amazon EC2 X2iezn instances to expedite the semiconductor physical verification process using Calibre Physical Verification tools from Siemens EDA. As semiconductor devices increase in density and complexity, the physical verification phase of the chip design process requires compute nodes with increasingly high memory-to-core ratio, […]

The Challenge Manufacturers that distribute products and manage inventory at many geographically dispersed sites struggle to predict replenishment timing and quantity accurately. For example, chemical manufacturers bound to vendor-managed inventory agreements make truck rolls to thousands of remote tank sites either when the tank is already empty (too late) or when the tank level is […]

Re:Invent 2022 is behind us, and if you didn’t make it to Las Vegas, you missed an exciting week of keynotes, sessions, announcements, and other content to help simplify and speed industrial digital transformation. Industrial customers had a lot to see and explore in the expo, Industry demo tent, and a variety of sessions. Highlights […]