EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

With an ecosystem of high-throughput instruments generating multi-terabyte datasets, the data management capacity of a leading global gene therapy innovator had reached breaking point. It was too slow ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Organisations should adopt shared platforms and automated governance to keep pace with the growing use of generative AI tools ...

Discover how ISVs are moving beyond batch processing to build high-margin, real-time data streaming features in their software.