Converged for AI: 4 keys to deploying a real-world environment

AI in 2020: It’s Time to Deploy an End-to-End Data Pipeline

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The infrastructure required to scale AI from pilot project to production environment is complex because of the demand on these systems to quickly process massive data sets at high speeds and ingest the broadest range of data from structured and unstructured sources.

In order to deploy AI in a real-world production environment, you need an end-to-end pipeline that incorporates specific pillars.

Check out this custom resource to learn the 4 pillars involved and get introduced to a new approach to supporting the AI pipeline with converged infrastructure.

Vendor:
Cisco and Pure Storage
Posted:
19 Mar 2020
Published:
19 Mar 2020
Format:
HTML
Type:
Resource
Language:
English
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