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.
Webcasts
16 October 2018
04 October 2018
Today’s quality landscape is incredibly complex with multiple data analysis, informatics, and enterprise systems. To ensure quality results, regulators across industries are focusing on data integrity, data security and consistent laboratory practices.
22 May 2018
Today’s laboratories are becoming increasingly complex, with ever more data being generated and captured. At the same time, regulatory oversight is stronger than ever and places new compliance burdens on everyday operations.
18 May 2018
Machine learning and Big Data analytics offer significant opportunities to improve R&D in the materials sciences, providing scientists with a new set of tools to analyze their data.
04 September 2017
Join engineering virtual reality pioneers ESI | IC.IDO in this webcast as Eric Kam, Immersive Experience Produ
Latest issue
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads