Data dashboard on Profit and Losses of $DUMMY token

AI summary of the linked article

Edisyl argues that AI tools fail on expert work because they lack the definitions, regulations and standards a domain expert carries, along with a company's own data and how it uses that data. Its Knowledge Pack has two halves: domain knowledge, covering partner data, regulatory sources, market data and standards, which is built and maintained by agents steered by subject matter experts, and proprietary knowledge, covering a company's own terms, policies and data. A semantic layer reconciles the vocabulary in a company's systems with the vocabulary its people use. The knowledge layer is installed in a customer's cloud or on its premises and works inside Claude, Codex, Gemini and Copilot.

Characters remaining: 10,000

comment guidelines