customer relationship management
CRM
Customer relationship management organizes information and workflows for a company's interactions with customers, prospects, and other contacts.
AI Terminology
Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.
Showing 201–220 of 1130 terms
Clear filtersdefense in depth
Defense in depth protects an AI system with several independent security layers so one failure does not expose the whole workflow.
domain knowledge
Domain knowledge is specialized understanding of the concepts, rules, practices and judgment used within a particular field or business activity.
episodic memory
Episodic memory in AI stores records of specific past interactions or events so a system can retrieve experience associated with a particular situation.
evaluation tampering
Evaluation tampering is an attempt by an AI system to alter the tests, evidence, tools, or scoring process used to judge its performance.
event-driven AI agent
An event-driven AI agent reacts to typed events instead of following only one fixed workflow or schedule.
formal verification
Formal verification uses mathematical logic and machine-checked proofs to establish that a system satisfies a precisely stated specification.
graphics processing unit kernel
A graphics processing unit kernel is a function compiled to run many parallel operations on a graphics processor or related accelerator.
grounded generation
Grounded generation produces an answer from supplied, retrievable, and attributable evidence rather than relying only on a model's learned patterns.
humanoid robot
A humanoid robot is a robot whose body and movement are designed around a broadly human-like form.
hypothesis generation
AI hypothesis generation uses AI to propose testable explanations or strategies from observations and data.
infrastructure bottleneck
An AI infrastructure bottleneck is a constrained component that limits how quickly or efficiently AI compute capacity can expand.
infrastructure capital risk
AI infrastructure capital risk is the possibility that long-lived compute investments or commitments lose value because demand, pricing, technology, or utilization changes.
iterative refinement
Iterative refinement improves an AI result through repeated cycles of building, inspection, feedback, and revision.
kernel generation
AI kernel generation uses AI to create or optimize low-level compute kernels for model and accelerator workloads.
model provider identity
Model provider identity establishes which organization operates or publishes an AI model and is accountable for its service and policies.
multi-agent code review
Multi-agent code review uses an agent separate from the implementer to inspect a software change, identify issues and request revisions.
natural language interface
NLIA natural language interface lets a person operate or configure a system using ordinary written or spoken language.
physical AI
Physical AI uses learned perception, reasoning and control to act through machines in the physical world.
prediction market
A prediction market lets participants trade contracts whose value depends on the outcome of a future event.