Category: Generative AI

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 […]

The clean energy transition faces a significant challenge that threatens to impede progress toward a sustainable future. Generator interconnection (GI) is the process of connecting new power plants to the electrical grid. This process has become a major problem across the United States and other regions of the world. It is creating significant delays for […]

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 […]

Lotte Homeshopping is a major South Korean retailer that was faced with an increasingly complex quality assurance (QA) process. Their fast-paced fashion division struggled with product approvals that required manual coordination across multiple channels. Partner questions went unanswered for too long, while QA agents struggled to keep up with repetitive inquiries. These mounting challenges created […]

Introduction The automotive industry continues to face challenges from the mounting complexity of software systems, with requirements encompassing functional needs such as electrification and autonomous driving alongside non-functional criteria such as performance and security. In our previous blog post, we explored how the framework of the Virtual Engineering Workbench (VEW), powered by AWS services and […]

Introduction The advertising industry is experiencing an exciting transformation thanks to generative AI (GenAI) tools that are revolutionizing campaign creation, digital ad generation, and marketing asset localization. While these innovations present incredible opportunities to streamline workflows and boost creativity, many organizations are navigating questions about which tools to implement, how to effectively integrate them into […]

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 […]

The UK motor finance industry faces Complex challenges following the Financial Conduct Authority’s (FCA) review of Discretionary Commission Arrangements (DCA). Financial institutions must now analyze historical lending data, calculate accurate redress amounts, and manage customer communications effectively, all while working with fragmented data sets and tight regulatory deadlines. In this post, we’ll explore how AWS […]