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Why Storage Is the Unsung Hero for AI

Pure Storage

Classical machine learning (1980s-2015): Speech recognition and supervised learning models drove data set growth from megabytes to gigabytes, making data retrieval and organization increasingly critical. They lack the agility, performance, and scalability required to support AIs diverse and high-volume data requirements.

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IT Agility Delivered: Future-ready Storage Solutions to Meet Enterprise Data Growth

Pure Storage

This is due to the limited, rigid architecture legacy storage uses, which was never designed for upgradability—especially between storage generations. With traditional storage architectures, this painful cycle will repeat itself again and again. It’s the antithesis of the IT agility that organizations are actually looking for.

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SIA New Member Profile: ThreatModeler

Security Industry Association

At the time, threat modeling was seen as a secondary practice to encourage brainstorming and flag architecture related issues, but it was mostly a manual and lengthy process. In 2015, ThreatModeler launched a new version of its software that was web-based and aimed at enterprises. Archie Agarwal : I founded ThreatModeler on Aug.

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Nomad vs. Kubernetes: Which Orchestration Tool Is Right for Your Enterprise?

Pure Storage

As modern enterprises adopt more complex, cloud-native architectures, container orchestration has become a critical component of software development and deployment. Nomad, developed by HashiCorp, is a flexible, lightweight workload orchestrator that has gained significant traction since its 2015 release.