Audit trails are considered the key to the security of a system since they track changes to data and metadata. In this way, an incomplete or absent audit trail can impact data integrity or even product quality. The absence of an audit trail is considered to be, “highly significant when there are data discrepancies” according to the FDA.
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Today, laboratory-based organizations face a wide variety of unaddressed data management challenges, and yet ultimately the scientific data is the currency with which they trade. Proper data management may not pay shareholders but it fundamentally defines the integrity of the organization and it’s purpose for existing. Being the cheapest, the fastest or the most definitive is desirable but it is all meaningless if the data is untrustworthy.
Externalization of R&D activities and the deluge of instrumental analytical data generated on a daily basis has resulted in increasing interest in analytical data standardization. Any standardization efforts, however, to either a single format or for data exchange between formats; should be weighed against the requirements of different users of that data, and hardware innovations.
The benefit of design exploration and optimization is understood and accepted by engineers but the required intensive computational resources have been a challenge for their adoption into the design process. The HyperWorks Unlimited (HWUL) appliance provides an effective solution to these challenges as it seamlessly connects all the necessary tools together in the cloud. The aim of this study is to showcase the benefits of HWUL on an optimization driven design of a complex system. For this purpose, an automotive seat design for crash loadcases is selected as an example.
With the resurgence of systems engineering in full swing, Guy Johns, Lead Technologist at CFMS, explores the promise of web technologies
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Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or