Paris, France

Artificial Intelligence for Marketing Strategy

Language: EnglishStudies in English
Subject area: computer science
Qualification: M12
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Artificial Intelligence
Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
Intelligence has been defined in many different ways to include the capacity for logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, and problem solving. It can be more generally described as the ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors within an environment or context.
Marketing is the study and management of exchange relationships. Marketing is used to create, keep and satisfy the customer. With the customer as the focus of its activities, it can be concluded that Marketing is one of the premier components of Business Management - the other being innovation.
Marketing Strategy
Marketing strategy is a long-term, forward-looking approach to planning with the fundamental goal achieving a sustainable competitive advantage. Strategic planning involves an analysis of the company's strategic initial situation prior to the formulation, evaluation and selection of market-oriented competitive position that contributes to the company's goals and marketing objectives.
Strategy (from Greek στρατηγία stratēgia, "art of troop leader; office of general, command, generalship") is a high-level plan to achieve one or more goals under conditions of uncertainty. In the sense of the "art of the general", which included several subsets of skills including "tactics", siegecraft, logistics etc., the term came into use in the 6th century CE in East Roman terminology, and was translated into Western vernacular languages only in the 18th century. From then until the 20th century, the word "strategy" came to denote "a comprehensive way to try to pursue political ends, including the threat or actual use of force, in a dialectic of wills" in a military conflict, in which both adversaries interact.
We should take care not to make the intellect our god; it has, of course, powerful muscles, but no personality.
Albert Einstein, "The Goal of Human Existence", Out of My Later Years (1956), p. 260
Since human beings are highly adaptable it may be possible for an individual with any sort of competence to learn, in the end, according to any teaching strategy. But the experiments show, very clearly indeed, that the rate, quality and durability of learning is crucially dependent upon whether or not the teaching strategy is of a sort that suits the individual
Gordon Pask, in Learning Strategies and Individual Competence (1972), p. 221
Artificial Intelligence
Recent researchers in artificial intelligence and computational methods use the term swarm intelligence to name collective and distributed techniques of problem solving without centralized control or provision of a global model. … the intelligence of the swarm is based fundamentally on communication. … the member of the multitude do not have to become the same or renounce their creativity in order to communicate and cooperate with each other. They remain different in terms of race, sex, sexuality and so forth. We need to understand, then, is the collective intelligence that can emerge from the communication and cooperation of such varied multiplicity.
Michael Hardt and Antonio Negri (2004), Multitude, pp. 91-92
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