Artificial intelligence
fromHubspot
in 3 weeksIntroducing the Agentic Customer Platform
AI outputs often fail to produce business outcomes because AI lacks the contextual knowledge and human judgment embedded in teams.
Developers have spent the past decade trying to forget databases exist. Not literally, of course. We still store petabytes. But for the average developer, the database became an implementation detail; an essential but staid utility layer we worked hard not to think about. We abstracted it behind object-relational mappers (ORM). We wrapped it in APIs. We stuffed semi-structured objects into columns and told ourselves it was flexible.
As Salesforce explains, AI models have a wealth of general knowledge, but often know nothing about your organization. As soon as you start using AI for specific business processes, it sometimes has to guess what certain values mean or how they should be interpreted. Some things may still be clear, such as a customer number, but what if there is an order form number, invoice number, order number, ticket number, batch number, and quotation number?