For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this understanding to reason about situations, make decisions, and ultimately…
Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to proprietary training data as a competitive advantage.
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