What is AI Inventory Management & Why Enterprises Need It Now
Airia's Alex Bermudez explains why enterprises need a centralized AI inventory covering models, agents, scopes, permissions, and the data they can reach.
Hey, I’m Alex Bermudez, Sales leader for the Americas from Airia.
In context of how quickly AI is moving, it’s really critical that an organization create a centralized and comprehensive AI inventory of the different components and assets that make up their AI agent systems and estate.
And what goes into an inventory isn’t just the models that you’re using, but it also goes into the scopes and permission sets that those models or agents have the ability to use the data that they have the ability to tap into and what type of permission based access controls you have there.
The more you have that combined bill of materials of what goes into those AI systems and agents, the better off you’ll be from a governance and ability to protect those assets.
What this video covers
Alex Bermudez, Airia’s sales leader for the Americas, makes the case for a centralized and comprehensive AI inventory. Given how quickly AI is moving, he argues that organizations need a single record of the components and assets that make up their AI agent systems and estate, and he spells out what belongs in it beyond the models themselves.
Key takeaways:
- An AI inventory covers more than the models in use; it includes the scopes and permission sets those models and agents can use.
- It also records the data those models and agents can tap into and the permission-based access controls around it.
- The more complete that combined bill of materials, the stronger your governance and your ability to protect those assets.