AWS for Industries
Category: Best Practices
The Business and Engineering Benefits of FSx for NetApp ONTAP for Product Engineering Workloads
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 […]
Powering Intelligent Factory Operations with Cognizant’s APEx Factory Whisperer and AWS
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. […]
Embracing OT-IT Convergence: How Automation Software Management Can Enhance OT Security
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, […]
Supercharge Manufacturing Agility: Self-Service IT on the Shop Floor with AWS
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 […]
Reducing manufacturing machine downtime using intelligent document processing on AWS
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 […]
Industrial Data Fabric solution best practices – Part 2, build, launch, and scale
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 Amazon 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 solution best practices – Part 1, organizational readiness and alignment
Industrial Data Fabric (IDF) solutions on Amazon 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 […]
Empowering predictive maintenance with Amazon Bedrock
In the competitive field of industrial operations, minimizing downtime is crucial for financial success. The challenge lies in managing complex data spread across various systems within industrial environments. Quickly identifying and solving issues without advanced analytics can be difficult. Operators often spend time consulting manuals to diagnose problems and follow protocols. Automation can streamline this […]
The Transformative Impact of Generative AI in Manufacturing at Hannover Messe 2024
Generative artificial intelligence (AI) is rapidly becoming a cornerstone technology, driving significant advancements in manufacturing through the creation of synthetic data and images, optimized designs, process simulations, insights from operational data, and more. Recent research from Capgemini indicates that a substantial majority of manufacturers are not just curious about generative AI; 55% are actively exploring […]
Generative AI for Semiconductor Design and Verification
The emergence of generative AI presents tremendous opportunities for advancing technical and business processes in high tech and semiconductor industries. From optimizing complex system design processes to accelerating time-to-market for new products, generative AI has unlimited potential to improve engineering and manufacturing methodologies and processes. Generative design methodologies powered by AI can automatically design chips […]