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.
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.
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.
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.
Join engineering virtual reality pioneers ESI | IC.IDO in this webcast as Eric Kam, Immersive Experience Product Marketing ESI, outlines the differences between 3D stereo CAD data viewing and immersive virtual prototyping.