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Enterprise AI

Deploying AI that ships and shows ROI.

Enterprise AI is the work of putting AI into production inside a business — deployment, governance, security, and measuring return on investment, where reliability and trust matter as much as model quality.

An enterprise deployment needs an account of how the system will be used and evaluated. NIST's AI Risk Management Framework is voluntary guidance for incorporating trustworthiness into AI design, development, use and evaluation (NIST, AI Risk Management Framework). It is a framework for organizing risk work, not a certification that a particular product is safe. For a pilot, record the task owner, permitted data, acceptance criteria and escalation path alongside the model choice.

episode 4 with HP, ServiceNow and Accenture examines why AI projects fail to show a return. Kapil Chhabra in episode 75 discusses maintaining the business context agents need as a company changes. How to measure if AI is paying off starts with a workflow and its baseline; how to govern AI agents covers ownership and operating limits. What it takes to ship AI in a regulated industry follows the deployment evidence.

35 episodes

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Andy TriedmanAndrea MalagodiKapil ChhabraWen SangAnush ElangovanJitender AswaniJiaona ZhangKris LovejoyJerry LiuTyler AkidauAlex RatnerDan KleinAngie JonesAishwarya SrinivasanMalte UblAurimas GriciūnasAndreas CleveGiovanna CarofiglioJoão MouraSharon ZhouGreg StattonVikram ChatterjiAtindriyo SanyalSiva SurendiraRodrigo CoutinhoMaryam AshooriManoj AgarwalYash ShethKelly VaughnLogan KilpatrickVinnie GiarrussoMehmet Murat EzbiderliGrant LedfordChip HuyenVivienne ZhangAlex KlugSriram PalapudiJay SubrahmoniaSara HookerCraig WileyBrian RaymondBob van LuijtMay Habib