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An expert, more generally, is a person with extensive knowledge or ability based on research, experience, or occupation and in a particular area of study. Experts are called in for advice on their respective subject, but they do not always agree on the particulars of a field of study.
A consultant (from Latin: consultare "to deliberate") [1] is a professional (also known as expert, specialist, see variations of meaning below) who provides advice or services in an area of specialization (generally to medium or large-size corporations).
In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. [1] Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. [2]
The badge was designed "to encourage team competitions and to distinguish a class of officers and men who have shown superior skill in team competitions." To earn the Expert Team Rifleman Badge, a shooter must have qualified as expert with the service rifle four times and have high placement at three official rifle marksmanship competitions.
An expert witness, particularly in common law countries such as the United Kingdom, Australia, and the United States, is a person whose opinion by virtue of ...
From the perspective of a thought leader as the 'go-to expert', being a thought leader means to consistently answer the biggest questions on the minds of the target audience on a particular topic. Thought leaders are commonly asked to speak at public events, conferences, or webinars to share their insight with a relevant audience.
A domain expert is frequently used in expert systems software development, and there the term always refers to the domain other than the software domain. A domain expert is a person with special knowledge or skills in a particular area of endeavour [ 8 ] (e.g. an accountant is an expert in the domain of accountancy ).
When sourcing experts to connect with clients, an expert network may use either an Internal database, or custom recruiting (or a combination). Whereas expert networks traditionally relied on internal databases of experts, business models have tilted towards 'custom recruiting' of new experts for each particular case.