Category: Best Practices

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 […]

In the competitive landscape of modern engineering, businesses continually seek ways to enhance productivity, streamline operations, and reduce costs. Product engineering involves complex simulations and computations, requiring robust and efficient data storage solutions for Computer Aided Engineering (CAE) applications. FSx for NetApp ONTAP, a fully managed service that provides high-performance, scalable file storage, addresses all […]

Smart Manufacturing enables organizations to accumulate vast amounts of data from factory systems and operations. However, this data is often siloed across multiple formats and systems, making it challenging to extract meaningful insights to improve operational efficiency. Furthermore, as the experienced workforce retires, the vast knowledge about troubleshooting and resolving production issues is being lost. […]

In the era of digital transformation, industries are increasingly embracing the convergence of Operational Technology (OT) and Information Technology (IT) systems. Industries are adopting software-defined architectures as they see a need for real-time data exchange, enhanced operational efficiency, and data-driven decision-making. OT-IT convergence enables seamless data flow between operational and enterprise systems, facilitating real-time monitoring, […]

With the exponential adoption of cloud computing today, there is hardly any corner of the IT sector that has not been affected by the benefits of the cloud, in particular increased agility, elasticity, cost savings, and scalability. However, the area of manufacturing known as operational technology (OT) seems to be one specialized cases where the […]

In the rapidly evolving automotive industry, manufacturers and suppliers must proactively address the challenges of managing vast amounts of data and documentation to streamline operations. These challenges include paper documents, disparate document versions and folder structures, collaboration with other plants, and finding important information when needed, especially when it comes to mitigating the disruptive impact […]

This blog is the second in a two-part series that distills some of the most important best practices to help organizations accelerate the implementation of an Industrial Data Fabric (IDF) solution on HAQM Web Services (AWS) and increase the value it brings enterprise-wide. The best practices are organized by stage, as shown in figure 1 […]

Industrial Data Fabric (IDF) solutions on HAQM Web Services (AWS) enable manufacturing and industrial companies to build the foundation for digital transformation to help optimize operations. IDF helps align different data types in the time domain with context as it combines many disparate data sources like time series data from machines, maintenance data from EAM […]