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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.
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.
AI platforms such as "DALL-E", [283] Stable Diffusion, [283] Imagen, [284] and Midjourney [285] have been used for generating visual images from inputs such as text or other images. [286] Some AI tools allow users to input images and output changed versions of that image, such as to display an object or product in different environments.
In the AIoT an important facet is AI being done on some Thing. In its purest form this involves performing the AI on the device, i.e. at the edge or Edge Computing, with no need for external connections. There is no need for an Internet in AIoT, it is an evolution of the concept of the IoT and that is where the comparison ends.
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]
Building the current crop of artificial intelligence chatbots has relied on specialized computer chips pioneered by Nvidia, which dominates the market and made itself the poster child of the AI boom.
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