AI agents need context, not just smarter models
India, Oct. 14 -- An artificial intelligence (AI) agent may retrieve a customer record in seconds. But does it know whether the information is current, who owns it, or which business decisions depend on it? For enterprises looking to give AI agents greater responsibility, these concerns are becoming just as important as the intelligence of the models themselves.
As companies move from AI pilots to systems that can execute tasks and make decisions, access to data alone is no longer enough. Agents also need to understand how information is connected, which sources can be trusted, and why certain business decisions were made.
In an interview with Dataquest, Michael Hunger, Vice President of Product Innovation at Neo4j, argues that this mis...
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