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Red Hat@AssemblyAI

AssemblyAI Runs Applied AI Delivery with Red Hat

AssemblyAI, an information technology organization in the United States, uses Red Hat Insights from Red Hat to support applied AI delivery for ML and product teams.

Value results

CategoryValue result
ProductivityFewer stalled items because model serving has a clear owner
ProductivityHandoffs in applied AI delivery sit in a shared queue instead of a mailbox trail
Risk and complianceRed Hat Insights is the governed place ML and product teams use for applied AI delivery

Story

AssemblyAI did not need another dashboard that nobody opened. It needed applied AI delivery to move. In the United States, ML and product teams already knew where model serving went wrong: too many copies, too little ownership, and a close process that waited on the loudest inbox.

Red Hat Insights from Red Hat is now in that path. Red Hat, an IBM company, provides enterprise open source platforms, including RHEL, OpenShift, and Ansible, for hybrid cloud. The company treats it as production tooling for applied AI delivery, which is why ML and product teams live in it rather than exporting from it once a quarter.

AssemblyAI can show how model serving is handled today. That is the value: a repeatable way to run applied AI delivery on software the rest of the industry already recognizes.

Relationship map

AssemblyAI uses Red Hat, Oracle, SAP, Cartesia, Nutanix, SentinelOne. Shared with Accenture, Adyen, AECOM, AGCO, Agilent Technologies. Industry: Information Technology. Value: Productivity, Risk and compliance. Drag nodes, filter types, or expand a node to follow more commonalities.

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