Accelerate your visual quality inspection at the edge with AWS and SoftServe

In the high-stakes arena of manufacturing, where product quality can make or break market reputation, using visual intelligence effectively remains the linchpin of excellence. Visual intelligence, in this context, refers to the application of artificial intelligence (AI) precision to enhance Continue reading Accelerate your visual quality inspection at the edge with AWS and SoftServe

Collecting data from industrial devices to AWS Services

Industrial data, a valuable resource, offers insights into machine performance, processes, and products. By collecting and analyzing this data, companies can enhance product quality, optimize efficiency, manage supply chains, and effectively schedule preventive maintenance. However, collecting data from industrial devices Continue reading Collecting data from industrial devices to AWS Services

Ingest and analyze equipment data in the cloud

To remain competitive, an industrial company in the process manufacturing space needs real-time visibility on how their plants are operating and performing. This blog describes how an industrial company created a dashboard solution to optimize their manufacturing process by ingesting Continue reading Ingest and analyze equipment data in the cloud

Scientific Data Management on AWS with Open Source Quilt Data Packages

End-to-end scientific data management on the cloud is an area of increasing interest, as life sciences companies aim to increase the utility of their data. Research, development, and manufacturing teams need a holistic set of controls for the scientific data Continue reading Scientific Data Management on AWS with Open Source Quilt Data Packages

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

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 Continue reading Pfizer boosts bioreactor efficiency with AWS industrial edge services

Next Generation CPE Command and Control Architectures on AWS

Communication Service Providers (CSPs) manage millions of CPE (Customer Premises Equipment) like broadband routers, Wi-Fi gateways, and more. Traditionally, most of these devices have been managed by standards such as TR-069 (CPE WAN Management Protocol or CWMP) from Broadband Forum. Continue reading Next Generation CPE Command and Control Architectures on AWS

Integration of on-premises medical imaging data with AWS HealthImaging

The medical imaging industry is used to diagnose and treat various medical conditions. The medical imaging industry has experienced significant growth [1] over the past decade and is expected to continue growing in the upcoming years. This is due to Continue reading Integration of on-premises medical imaging data with AWS HealthImaging

How to control distributed energy resources using AWS IoT

Controllable distributed energy resources (DERs) are key to the successful transition to a zero-carbon grid. Industry context Distributed energy resources (DERs) are controllable energy assets that can generate, store, or consume energy. Examples of DERs are thermostats, heat pumps, batteries, Continue reading How to control distributed energy resources using AWS IoT

Enhancing Retail Store Inventory Management through RFID Technology & AWS

Guidance for RFID Store Inventory Management on AWS The need for RFID (Radio Frequency Identification) is growing. Retailers face many challenges in managing their inventory, including out-of-stock situations, misplaced items, and shrinkage. These challenges can impact the bottom line and Continue reading Enhancing Retail Store Inventory Management through RFID Technology & AWS