AWS for Industries

Category: Manufacturing

Industrial Automation Software Management on AWS—Best Practices for Operational Excellence

Factory or intralogistics automation, which can include assembly stations, sortation stations, robots, and conveyors, are programmed and operated by their respective native controllers or programmable logic controllers (PLCs). These controllers execute programs to control physical equipment to accomplish a task—for example, painting a car with the specified color or sorting an item by its barcode […]

Artificial intelligence in industrial welding produces near-real-time insights through virtually 100% sample sizes

In metal-to-metal welding applications, automating inspections to detect weld defects early and often can help avoid costly product recalls, excessive scrap, rework, and other expenses associated with poor quality. Companies have found it challenging to implement such automation. IBM Smart Edge for Welding (SE4W) with AWS aggregates quality inspection capabilities based on artificial intelligence (AI), […]

The Future of Automation is Here: Attend SPS 2023 in Nuremberg, Germany

Don’t miss the Smart Production Solutions (SPS) Conference on November 14-16, 2023. It’s the place to stay current with the trends and technologies driving Industry 4.0. Please join Amazon Web Services (AWS) and many of our AWS Partners in Hall 5, Booth #350 to explore new and innovative digital automation and generative AI solutions to […]

Unlock Your Factory’s Potential: An Inside Look at AWS re:Invent 2023

Manufacturing is undergoing a revolution. The latest cloud technologies are enabling manufacturers to optimize operations, reduce costs, and create new revenue streams. At AWS re:Invent 2023, happening November 27th to December 1st in Las Vegas, Nevada, attendees will get an inside look at how leading manufacturers are using AWS cloud technology to transform their operations, […]

Pfizer boosts bioreactor efficiency with AWS industrial edge services

Pfizer, one of the world’s premier biopharmaceutical companies, uses machine learning (ML) and artificial intelligence (AI) for near-real-time monitoring of mammalian cell culture bioreactors to boost batch yield and reduce the risk of contamination. Using Amazon Web Services (AWS), the company developed Manufacturing Intelligence Edge (MI Edge), a platform that uses AI and ML for […]

Using AWS generative AI to improve defect detection in Manufacturing

Product quality control and surface defect detection in manufacturing is very important for overall product cost reduction and customer satisfaction. Simply relying on humans to visually inspect products is unsatisfactory and does not scale; today’s computer vision models require vast amounts of images data for detection of surface area defects. In today’s smart manufacturing ecosystem, […]

Future-proof Your AI at the Edge with AWS

In the rapidly evolving field of IoT in manufacturing and transportation domains, machine learning features create significant value. By utilizing machine learning at the edge, manufacturers can gather insights faster, identify trends, identify patterns, and detect anomalies, all resulting in enhanced security and safety and cost savings. Amazon SageMaker is a fully managed service that […]

Succeeding with Industrial Data Platforms

Data is the key enabler to digital transformation. Retailers combine data to get a single view of customers to build better experiences and reduce acquisition costs, financial institutions use data to manage risks and personalize offerings, and manufacturers connect to data in production systems to lower unit costs or reduce quality issues. Across all those […]

Makino improves performance of Autonomous Mobile Robots with AWS Wavelength and 5G network

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). […]

Faster post–silicon analysis with an AWS data lake

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 […]