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  2. AIOps - Wikipedia

    en.wikipedia.org/wiki/AIOps

    Artificial Intelligence for IT Operations (AIOps) is a practice that uses artificial intelligence and machine learning to enhance and automate various aspects of IT operations. It is designed to optimize IT environments by analyzing large volumes of data generated by complex IT systems, including system logs, performance metrics, and network data.

  3. DevOps - Wikipedia

    en.wikipedia.org/wiki/DevOps

    This is an accepted version of this page This is the latest accepted revision, reviewed on 25 February 2025. Integration of software development and operations DevOps is the integration and automation of the software development and information technology operations [a]. DevOps encompasses necessary tasks of software development and can lead to shortening development time and improving the ...

  4. Robotic process automation - Wikipedia

    en.wikipedia.org/wiki/Robotic_Process_Automation

    Robotic process automation (RPA) is a form of business process automation that is based on software robots (bots) or artificial intelligence (AI) agents. [1] RPA should not be confused with artificial intelligence as it is based on automotive technology following a predefined workflow. [2]

  5. Ontology (information science) - Wikipedia

    en.wikipedia.org/wiki/Ontology_(information_science)

    Since the mid-1970s, researchers in the field of artificial intelligence (AI) have recognized that knowledge engineering is the key to building large and powerful AI systems [citation needed]. AI researchers argued that they could create new ontologies as computational models that enable certain kinds of automated reasoning , which was only ...

  6. Elements of AI - Wikipedia

    en.wikipedia.org/wiki/Elements_of_AI

    Elements of AI is a massive open online course (MOOC) teaching the basics of artificial intelligence. [1] The course, originally launched in 2018, is designed and organized by the University of Helsinki and learning technology company MinnaLearn . [ 2 ]

  7. Software engineering - Wikipedia

    en.wikipedia.org/wiki/Software_engineering

    Software engineering is a branch of both computer science and engineering focused on designing, developing, testing, and maintaining of software applications.It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs.

  8. Prolog - Wikipedia

    en.wikipedia.org/wiki/Prolog

    Prolog is a logic programming language that has its origins in artificial intelligence, automated theorem proving and computational linguistics. [1] [2] [3]Prolog has its roots in first-order logic, a formal logic, and unlike many other programming languages, Prolog is intended primarily as a declarative programming language: the program is a set of facts and rules, which define relations.

  9. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Example for the usefulness of exploratory data analysis as demonstrated using the Datasaurus dozen data set Data science is at the intersection of mathematics, computer science and domain expertise. Data analysis typically involves working with structured datasets to answer specific questions or solve specific problems.