CEO George Kurian outlines NetApp’s data strategy for production AI
Intelligent data infrastructure is becoming critical as enterprises move artificial intelligence from curated pilots into production. NetApp Inc. is positioning its Novus architecture for that transition. Ninety-three percent of organizations pursuing production AI identify data as their leading challenge, according to NetApp Chief Executive Officer George Kurian (pictured). Addressing the…
As AI moves from pilot projects to production environments, a robust data infrastructure becomes increasingly crucial for enterprises. According to NetApp Inc.'s CEO George Kurian, 93% of organizations pursuing production AI cite data as their top challenge. Addressing associated safety risks involves collaboration among model builders, security vendors, and enterprise operators.
Kurian highlighted the need to integrate AI into operational systems and workflows, which necessitates new infrastructure requirements such as governance, security, and control. During an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio, Kurian discussed NetApp's Novus architecture, which merges its established data layer with an independently scalable metadata layer.
This combination enables the delivery of over 100 terabytes per second and zettabyte-scale capacity within a single namespace. Kurian emphasized that the metadata service serves as a platform for data discovery, cataloging, governance, and control, which are essential for implementing safeguards and maintaining trusted knowledge.
He stressed that intelligent data infrastructure is vital to being responsible stewards of data, as data underpins knowledge and intellectual property. Organizations can begin with small implementations and scale up to large AI factories using a consistent platform.
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