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  2. Marketing and artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Marketing_and_artificial...

    The fields of marketing and artificial intelligence converge in systems which assist in areas such as market forecasting, and automation of processes and decision making, along with increased efficiency of tasks which would usually be performed by humans. The science behind these systems can be explained through neural networks and expert ...

  3. Artificial intelligence marketing - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence has transformed the digital marketing landscape by allowing businesses to capture large amounts of consumer data, leading to data-driven marketing strategies. Businesses like Amazon can utilize user’s purchase, search, and viewing history on their platforms, to create customized user experiences.

  4. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    Ooms, Marius (2009). "Trends in Applied Econometrics Software Development 1985–2008: An Analysis of Journal of Applied Econometrics Research Articles, Software Reviews, Data and Code". Palgrave Handbook of Econometrics. Vol. 2: Applied Econometrics. Palgrave Macmillan. pp. 1321– 1348. ISBN 978-1-4039-1800-0. Renfro, Charles G. (2004).

  5. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  6. Marketing mix modeling - Wikipedia

    en.wikipedia.org/wiki/Marketing_mix_modeling

    Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.

  7. Comparison of data modeling tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Multi-user collaboration using File, DBMS or (transfer via XMI, CVS/TFS or Difference Merge). MySQL Workbench: Physical IDEF1X, IE (Crow’s feet), UML, and more Yes Yes Update database and/or update model No Navicat Data Modeler Conceptual, Logical & Physical IE (Crow’s foot) Yes Yes Update database and/or update model No NORMA Object-Role ...

  8. System dynamics - Wikipedia

    en.wikipedia.org/wiki/System_dynamics

    System dynamics is a methodology and mathematical modeling technique to frame, understand, and discuss complex issues and problems. Originally developed in the 1950s to help corporate managers improve their understanding of industrial processes, SD is currently being used throughout the public and private sector for policy analysis and design.

  9. Event-driven process chain - Wikipedia

    en.wikipedia.org/wiki/Event-driven_Process_Chain

    As shown in the example, a customer order received is the initial event which creates a requirement capture within the company. In order to specify this function, sales is responsible for marketing, currency etc. As a result, event 'requirement captured' leads to another new function: check material on stock, in order to manufacture the ...