NetApp aims to make legacy data AI-ready without a rebuild
Enterprises sitting on decades of legacy information face a pressing question as artificial intelligence moves from pilots to production: Can that archive become AI-ready data without a costly rebuild of the infrastructure underneath it? NetApp Inc. is betting it can answer that question with a platform that reaches well beyond its storage roots. The company […] The post NetApp aims to make…
As artificial intelligence transitions from experimental projects to a production environment, enterprises are grappling with the question of whether their existing legacy data can seamlessly become AI-ready without the need to rebuild their infrastructure. NetApp Inc. is asserting that it can answer this query with its intelligent data infrastructure strategy.
Jen Prenner, senior vice president of product marketing at NetApp, emphasizes that for data to be usable for AI, it must be accessible, governed, protected, and available. Prenner explained that NetApp's unified approach to storage supports file, block, and object storage, enabling enterprises to store their data across various platforms - whether on-premises, in the cloud, or at the edge - without creating complexity or additional silos.
Furthermore, NetApp aims to protect data at every layer, not just as an afterthought. This protection is bolstered by a strategic partnership with Commvault Systems Inc. The Console control plane, which supports both cloud and on-premises environments, provides centralized management, observability, reporting, analytics, and remediation capabilities.
Prenner stresses that NetApp is more than just a storage provider, with a 30-year history of trust among customers, and a commitment to turning AI ambitions into tangible results.
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