AI glossary - terms beginning with D

This hub lists the enterprise AI glossary terms in the Impetora reference that begin with the letter D. Each entry links to a full vendor-neutral definition with how the concept applies in regulated enterprise work.

6 terms

What D-words matter in enterprise AI?

Data Card

Governance

A data card is a structured document describing a dataset used to train or evaluate an AI model: its source, composition, collection process, intended use, and limitations.

Data Residency

Methodology

Data residency is the requirement that personal or regulated data stays within a specified geographic region throughout processing, storage, and backup.

Deep Learning

Foundational

Deep Learning is a branch of machine learning that uses multi-layer neural networks to learn hierarchical representations from raw data.

Discovery Phase

Methodology

The discovery phase is the first stage of an AI engagement, in which scope, data, workflows, success criteria, and constraints are mapped before any system is built.

Discriminative AI

Foundational

Discriminative AI refers to models that classify or score existing inputs rather than generating new content, learning the boundary between classes from labelled data.

DORA

Regulation

The Digital Operational Resilience Act (DORA) is an EU regulation that sets uniform requirements for the digital operational resilience of financial entities, including their use of AI and ICT third-party service providers.

Updated 2026-04-27. Markdown twin: /md/glossary/letter/d.