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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. Generative artificial intelligence - Wikipedia

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

    Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.

  4. Artificial intelligence marketing - Wikipedia

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

    Traditional marketing directly focuses on the needs of consumers; meanwhile some believe the shift AI may cause, will lead marketing agencies to manage consumer needs instead. [ 1 ] Artificial Intelligence is used in various digital marketing spaces, such as content marketing , email marketing , online advertisement (in combination with machine ...

  5. Salesforce Doubles AI Hiring Goal, To Add 2K Sales Roles

    www.aol.com/salesforce-doubles-ai-hiring-goal...

    Salesforce Inc (NYSE:CRM) targets employing 2,000 people in the form of sales reps, marketers, and customer service agents to sell artificial intelligence software to clients, CNBC cited CEO Marc ...

  6. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    These agents can interact with users, their environment, or other agents. AI agents are used in various applications, including virtual assistants, chatbots, autonomous vehicles, game-playing systems, and industrial robotics. AI agents operate within the constraints of their programming, available computational resources, and hardware limitations.

  7. Graph neural network - Wikipedia

    en.wikipedia.org/wiki/Graph_neural_network

    The graph attention network (GAT) was introduced by Petar Veličković et al. in 2018. [11] Graph attention network is a combination of a GNN and an attention layer. The implementation of attention layer in graphical neural networks helps provide attention or focus to the important information from the data instead of focusing on the whole data.

  8. Artificial general intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_general...

    The first generation of AI researchers were convinced that artificial general intelligence was possible and that it would exist in just a few decades. [51] AI pioneer Herbert A. Simon wrote in 1965: "machines will be capable, within twenty years, of doing any work a man can do." [52]

  9. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    A bar graph shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. Some bar graphs present bars clustered in groups of more than one, showing the values of more than one measured variable. These clustered groups can be differentiated using ...