Category: Manufacturing

As manufacturing organizations continue their digital transformation journeys, deriving maximum value from industrial data has become increasingly critical. To help manufacturers architect reliable, secure, and modern industrial data fabrics and accelerate their digital transformations, AWS introduces the new AWS Well-Architected Modern Industrial Data Lens. The AWS Well-Architected Modern Industrial Data Lens provides architectural best practices […]

In modern manufacturing, the ability to quickly access critical information and use the expertise of experienced operators is essential for maintaining high productivity and quality, as well as minimizing costly machine downtime. However, as skilled workers retire or move on and the workforce landscape changes, manufacturers often face the challenge of preserving institutional knowledge and […]

Digital Product Passports (DPPs) are set to transform the landscape of product transparency, regulatory compliance, and supply chain sustainability—yet organizations face challenges integrating data, verifying information, and adapting to evolving rules. In this post, we explore how we see AWS customers address the topic of DPPs and the role agentic AI plays in automating and […]

Smart product manufacturers are at a critical transformation point. With Gartner predicting that 80% of AI models will be industry-specific by 2027, and their recent analysis showing that AI-enabling cloud services are the future of cloud infrastructure, companies can no longer rely solely on traditional hardware sales to maintain competitive advantage. The shift toward digital […]

For most manufacturers today, quality control of manufactured products often relies on workers manually visually inspecting the product(s), introducing inconsistency and increasing labor costs. Automated machine learning (ML) and computer vision (CV) solutions require extensive training data as well as continuous fine-tuning, which creates adoption barriers especially for small and medium-sized manufacturers. This blog post […]

AI has the potential to transform every supply chain process. While existing technologies such as predictive analytics, Internet of Things (IoT), and machine learning (ML) have improved supply chain efficiency and visibility, organizations still face significant challenges. Today’s supply chain practitioners must navigate complex scenarios ranging from geo-political tensions to natural disasters, while managing data […]

Customers in Energy and Manufacturing industries rely on accurate, up-to-date operating procedures to ensure safety and efficiency. AcceleratorKMS®, Hexagon’s industry-leading knowledge management system, transforms these critical operational procedures into digital, mobile-ready content. This solution makes sure that personnel operating in high stress, mission critical roles use the latest, up to date procedures, therefore reducing information-caused […]

Manufacturing companies face significant challenges with unplanned equipment downtime, which leads to lost revenue and production delays. Maintenance teams often struggle to detect early warning signs of equipment failure due to resource constraints and a lack of advanced analytics expertise. To address these challenges, we are excited to announce the general availability of native anomaly […]

The GDS Manufacturing Summit held in New Orleans in 2024 brought manufacturers, state legislators and partners to tackle current developments in the manufacturing industry. One of the most pressing questions discussed was how Artificial intelligence (AI) and generative AI (GenAI) are redefining manufacturing. In a survey conducted during the Summit, manufacturing technology leaders ranked the […]

In today’s competitive industrial landscape, providers of industrial machines, such as construction and mining equipment, and factory machinery, look for innovative ways to maximize the potential of their products. By connecting these machines to the cloud with IoT, machine builders gain visibility into how their equipment performs in real-world conditions—understanding utilization patterns, identifying recurring failure […]