How Red Hat & Intel rapidly operationalize your AI/ML models

Despite attractive benefits, a high AI/ML project failure rate remains, with many experiencing real challenges moving projects from concept to production.

These challenges are understandable, as data science encompasses many tasks—data acquisition, model building, development processes, and continuous integration and continuous delivery (CI/CD), to name a few.

This product overview explains how Intel and Red Hat can help you face these challenges directly and rapidly operationalize your AI/ML models.

From automating data science pipelines to eliminating complex ITOps setup tasks, download now to understand the benefits of Intel and Red Hat’s AI infrastructure.

Vendor:: Red Hat and Intel
Posted:: Mar 19, 2024
Published:: Mar 19, 2024
Format:: HTML
Type:: Product Overview

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