Category: Technical How-to

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 […]

In today’s rapidly evolving industrial landscape, the manufacturing sector is leading the way in using digital technology to revolutionize processes and improve efficiency. However, as this technological revolution unfolds, organizations are encountering significant challenges in adopting and implementing Industry 4.0 solutions, particularly for globally decentralized organizations. One of the challenges related to Industry 4.0 adoption […]

The marketing and advertising technology landscape is undergoing transformation driven by fragmented consumer media and sales channels, new privacy regulations, and a rapid shift toward AI-enabled customer engagement. Companies across industries want to deliver personalized customer experiences and optimized advertising campaigns but struggle with siloed, duplicative, or missing data which hinders real-time use cases. A […]

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 […]

Manufacturers are constantly seeking ways to streamline operations and maximize productivity. With the advent of generative AI, manufacturing companies now have powerful capabilities to boost efficiency across various aspects of their business. From accelerating product development and assembly to extending equipment lifetimes, minimizing downtime and improving operational equipment effectiveness, generative AI has potential to revolutionize […]

Manufacturers often tell us how workforce challenges affect their organizational productivity. If you feel this way, you are not alone. Every quarter, the U.S. National Association of Manufacturers, the trade association that consolidates manufacturer interests, polls CEOs on their primary business challenges. In the latest poll (2023 Fourth Quarter Manufacturers’ Outlook Survey), more than 71% […]

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 […]

The semiconductor industry, known for its intricate manufacturing processes, generates a vast amount of sensor data crucial for analytics and machine learning. However, due to legacy systems and complex data infrastructure, collecting this data in real-time and at scale can be a challenging task. This blog post explains some challenges faced by the semiconductor industry […]

Introduction High performance computing (HPC) workloads are becoming complex with the advent of big data, advanced node electronic design automation (EDA) for chip design, and high-precision verification. Enterprises are adopting Amazon Web Services (AWS) to meet the constantly growing compute demands in HPC. Worldwide HPC in the Cloud Forecast 2020–2026 from Hyperion Research (June 2022) […]

Product quality control and surface defect detection in manufacturing is very important for overall product cost reduction and customer satisfaction. Simply relying on humans to visually inspect products is unsatisfactory and does not scale; today’s computer vision models require vast amounts of images data for detection of surface area defects. In today’s smart manufacturing ecosystem, […]