The Top 5 Most Over-Engineered Building Components

whitePaper | November 1, 2019

The global competitive landscape for manufacturing is squeezing everyone – from the Tier 1 automotive companies to electronics goods manufacturers. It is shortening the required time to market and with little warning. This high-pressure environment requires high productivity from its players resulting in either doing things faster and leaner without compromising quality or giving the game away to a hungrier competitor who is willing to do whatever it takes.

whitePaper | April 25, 2022

As a data hub and application carrier, data centeris a basic guarantee facility for carrying digital computing power and information systems of variousindustries, an important precondition for building information platform, and a key link in the development of digital industry chain. Data center infrastructure is also an important part of ensuring stable operation of data centers. Troubleshooting, root cause analysis and remediation of facilityproblems are common challenges for any infrastructure operation. Therefore, data center infrastructure design becomes critical. Many emerging trends are impacting all operations within the current data center, such as the increased data center rack densit

whitePaper | February 10, 2020

Engineers are facing ever-increasing pressure from business executives to incorporate innovative technologies into their products. The realities of creating new and unexplored concepts, while accounting for more and more smart connected products, and continually adapting to changing market uncertainties, is making it challenging for companies to compete effectively.

whitePaper | May 12, 2022

Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on data. The more advanced forms of machine learning, especially deep learning neural networks, require significant amounts of data to be able to create models with acceptable levels of accuracy.

whitePaper | February 20, 2020

Engineering Data Management is all about the creation, version control and fast retrieval of documents. It has little or nothing to do with formal change management, or building a reliable audit trail. Engineering Data Management Systems should make life for the engineer as simple as possible without introducing too much complexity. Document control on the other hand, is the management of documents through their life cycle with a much higher degree of reliability for security, version control, review cycle, visibility, availability and, most importantly, for a controlled and reliable audit trail.

whitePaper | March 2, 2020

The automotive industry is going through the greatest revolution in its history. From insurance and financing to after-market services and flexible business models, digital disruption is driving every organization out of its comfort zone. In this white paper, you’ll learn how technology-driven trends and customer service expectations are redefining the CX.