Unlocking AI ROI by structuring enterprise data for autonomous agent workflows (opens in new tab)

Organizations often struggle with AI return on investment because pilot programs frequently lack intentional business strategies or focus on commoditized public data. Success in production environments requires leveraging proprietary unstructured data, which constitutes roughly 90% of enterprise information within systems like emails, contracts, and medical records. By using large language models to provide structure to this data, businesses can transition from simple data "swamps" to sophist...