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2. Domain knowledge - Wikipedia

   en.wikipedia.org/wiki/Domain_knowledge

   Domain knowledge is knowledge of a specific discipline or field in contrast to general (or domain-independent) knowledge. [1] The term is often used in reference to a more general discipline—for example, in describing a software engineer who has general knowledge of computer programming as well as domain knowledge about developing programs for a particular industry.

3. T-shaped skills - Wikipedia

   en.wikipedia.org/wiki/T-shaped_skills

   The concept of T-shaped skills, or T-shaped persons is a metaphor used in job recruitment to describe the abilities of persons in the workforce.The vertical bar on the letter T represents the depth of related skills and expertise in a single field, whereas the horizontal bar is the ability to collaborate across disciplines with experts in other areas and to apply knowledge in areas of ...

4. I’m a Career Expert: Here’s Why You Should Put AI on Your Resume

   www.aol.com/m-career-expert-why-put-160017502.html

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5. Subject-matter expert - Wikipedia

   en.wikipedia.org/wiki/Subject-matter_expert

   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). The development of accounting ...

6. Résumé - Wikipedia

   en.wikipedia.org/wiki/Résumé

   An example of a résumé with a common format with the name John Doe. A résumé or resume (or alternatively resumé), [a] [1] is a document created and used by a person to present their background, skills, and accomplishments. Résumés can be used for a variety of reasons, but most often are used to secure new jobs, whether in the same ...

7. Knowledge engineering - Wikipedia

   en.wikipedia.org/wiki/Knowledge_engineering

   In the earliest days of expert systems, there was little or no formal process for the creation of the software. Researchers just sat down with domain experts and started programming, often developing the required tools (e.g. inference engines) at the same time as the applications themselves. As expert systems moved from academic prototypes to ...