With the growth in AI and ML, there is an increasing requirement for an organisation to store and manage large volumes of data.
Resources
01 August 2019
Robert Roe looks at use cases for cloud technology in HPC
21 May 2019
Today, an e-motor cannot be developed just by looking at the motor as an isolated unit; tight requirements concerning the integration into both the complete electric or hybrid drivetrain system and perceived quality must be met.
02 April 2019
We live in a time of unprecedented innovation. Product design cycles keep getting shorter, personalized and custom products are becoming the norm and external requirements are changing constantly.
16 October 2018
As data continues to increase exponentially, many organisations are turning to the latest advancements in digital technology to respond to the evolving needs of R&D scientists. For many organisations, a key challenge is managing the complexity and the number of systems in place that generate multiple types of complex data. This webinar will address some of the challenges faced by regulated and non-regulated labs as they move to cloud technology, the importance of implementing an extensible lab informatics platform solution and how digital technology has the potential to change how science is performed.
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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
