Everpure accelerates AI workloads with Data Stream and unveils data-primacy architectural vision
Big-data storage company Everpure Inc., formerly known as Pure Storage, is rethinking enterprise data architectures to facilitate better access and scalability for artificial intelligence workloads.
At its annual customer conference, Pure Accelerate, the company today announced the immediate availability of Everpure Data Stream, which helps to transform raw, unstructured data so enterprises can feed it into AI models more easily.
Alongside Data Stream, the company unveiled Everpure Data Intelligence to simplify data discovery and classification, plus significant performance upgrades to its Enterprise Data Cloud platform. The announcements signal a fundamental shift in strategy for Everpure, which is urging customers to abandon their old application-centric data architectures in favor of a new “data primacy” model.
Everpure Chairman and Chief Executive Charles Giancarlo introduced the new offerings in a blog post, where he explained that the biggest hurdle for enterprise AI is no longer the models, but the complexity of the data pipelines needed to feed them with information. He cites a recent survey by International Data Corp., which found that 94% of information technology leaders consider data quality to be the ultimate factor when it comes to getting value from AI.
