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  2. Marketing and artificial intelligence - Wikipedia

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

    Marketing is a complex field of decision making which involves a large degree of both judgment and intuition on behalf of the marketer. [10] The enormous increase in complexity that the individual decision-maker faces renders the decision-making process almost an impossible task. The marketing decision engine can help distill the noise.

  3. Artificial intelligence marketing - Wikipedia

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

    AI's integration across many sectors is transforming innovation, improving efficiency and adaptability. AI's ability to analyze data, and patterns enables it to produce hyper-personalized advertisements. [17] AI marketing will be an important tool for all businesses to thrive in contemporary times.

  4. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    Artificial intelligence is also starting to be used in video production, with tools and software being developed that utilize generative AI in order to create new video, or alter existing video. Some of the major tools that are being used in these processes currently are DALL-E, Mid-journey, and Runway. [247]

  5. Digital marketing - Wikipedia

    en.wikipedia.org/wiki/Digital_marketing

    Digital marketing is the component of marketing that uses the Internet and online-based digital technologies such as desktop computers, mobile phones, and other digital media and platforms to promote products and services. [2] [3] It has significantly transformed the way brands and businesses utilize technology for marketing since the 1990s and ...

  6. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

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