Category: Best Practices

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 […]

The payments industry stands at a transformative inflection point. Traditional payment systems built on rigid rules, manual processes, and legacy infrastructure find it difficult to navigate the evolving landscape of modern commerce. Today’s payment ecosystem demands solutions that handle increasing complexity while delivering the seamless, contactless, and autonomous experiences customers expect. Financial institutions have long […]

As shopping agents powered by artificial intelligence (AI) evolve from novelty to necessity, they promise to fundamentally reshape how consumers discover and purchase products. These intelligent digital assistants will soon be able to navigate multiple marketplaces simultaneously and make split-second purchasing decisions based on complex criteria including price, quality, availability, and consumer preference. For enterprise […]

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 […]

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 development of a new mine is a long process. Figures from S&P Global1 show that the average lead time is now extended to over 15 years from discovery to operations. To meet soaring demand for critical minerals, the mining industry is increasingly targeting previously mined or explored areas, and re-evaluating viability of these deposits […]

Predictive maintenance uses data-driven strategies to anticipate and prevent equipment failures. It involves continuous monitoring of equipment using sensors and advanced analytics to enhance reliability. By predicting when failures are likely to happen, companies can implement more effective maintenance strategies, improving equipment longevity. In this blog, we explore how predictive maintenance is transforming the optimization and […]

With the majority of manufacturing organizations embracing digital transformation efforts, the role of data as a strategic asset is becoming increasingly clear. When harnessed effectively throughout the product lifecycle, manufacturers can unlock key insights to reduce overall costs, improve product quality, streamline supply chain and deliver differentiated solutions to customers. However, operationalizing a data-driven transformation […]