Tag: aws manufacturing

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 […]

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, […]

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 […]

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 […]

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). […]

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 Semiconductor chips have become an indispensable part of our lives with the advancements driven by technologies like 5G, Internet of Things (IoT) and Artificial Intelligence (AI) / Machine Learning (ML). Semiconductor chips power a broad range of devices, including consumer devices, automobiles, smart cities and homes, data centers, and more. The increased demand for […]

About Daikin Daikin is a leading innovator and worldwide provider of advanced, high-quality air conditioning, heating, and refrigeration solutions for residential, commercial and industrial applications. They are committed to elevating the quality of air in homes, businesses, and public spaces with a complete line of energy-efficient and intelligent products. As a global leader in HVAC&R applications, they […]

Introduction Industrial companies are actively pursuing strategic advantages of modernizing their operational technology (OT) and Information Technology (IT) to drive business value, but are limited by fixed storage and compute capacity available onsite. Data scientists and process engineering leaders recognize the need to leverage this operational data to gain insights, optimize processes, and enhance business […]

Challenges of New Product Development in Electronics Manufacturing The pressures of miniaturization, functional complexity, customer quality demands, costs and margin, competition, and environmental expectations make the development and production of electronic devices harder than ever before. They have become more complex and so have their supply chains – often spanning multiple countries and continents. Manufacturers […]