AWS for Industries

Category: Manufacturing

Monitor factory operations using digital twins from AWS and Matterport

Digital twins are used across the whole manufacturing lifecycle, from designing and planning to monitoring facilities. A digital twin is a virtual model of a physical object. It uses real-time data to simulate the behavior of the object. Digital twins can replicate many real-world items, from single pieces of equipment in a factory to full […]

IDEMIA: How a global leader in identity leverages AWS to improve productivity in Manufacturing

Introduction When you travel abroad, your passport may have been manufactured by IDEMIA, or when you pay with bank cards, which may also come from IDEMIA. Spanning over 40 industrial sites worldwide, IDEMIA produces highly confidential products such as bank cards, passports, and SIM cards, totaling over 800 million bank cards a year. IDEMIA is […]

OT-IT Integration: AWS and Siemens break down data silos by closing the machine-to-cloud gap

Introduction The industrial sector is driving the convergence of Operational Technology (OT) and Information Technology (IT), promising improved efficiency and data-driven decision making. This is a much-needed shift; without it, industrial organizations will likely struggle scaling their digital transformation and smart connected operations. However, the path to OT-IT integration has faced challenges ranging from security […]

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 […]