Error Handling
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation.
The process of anticipating, detecting, and resolving errors in software or systems to ensure smooth operation.
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
A cognitive bias where a person's subjective confidence in their judgments is greater than their objective accuracy.
AI as a Service (AIaaS) is a service model where AI tools and algorithms are provided over the internet by a third-party provider.
A research method that involves repeated observations of the same variables over a period of time.
The principle that the more a metric is used to make decisions, the more it will be subject to corruption and distort the processes it is intended to monitor.
A professional responsible for the creation and development of products, ensuring they meet user needs and are visually appealing and functional.
A test proposed by Alan Turing to determine if a machine's behavior is indistinguishable from that of a human.
The hardware and software environment used to deploy and manage applications and services.