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As revolutionary as Generative AI applications are, they'll only succeed in enterprise environments if organizations address the many concerns for implementing Generative AI in core use cases. These deployments must be sensible, viable, and risk-free to prevent companies from erring from problems such as ChatGPT's infamous 'hallucinations' – when it generates nonsensical, inaccurate content. Making foundational models consumable in enterprise environs requires:

– Model Constraint
– Data Provenance
– Access Controls

Accessing Generative AI in knowledge graph environments allays these issues, making model outputs accurate, consistent, traceable, secure, and private.

Don't miss this live event on Tuesday, March 5th, 11:00 AM PT / 2:00 PM ET. Register Now to attend the webinar How Knowledge Graphs Make Generative AI Consumable in Enterprise Environments.
Sean Martin
CTO & Co-founder
Cambridge Semantics
Marydee Ojala
KMWorld magazine