Big Data and Artificial Intelligence in Management. Disruptive Technologies as a success factor for decision-making (eBook, PDF)
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Document from the year 2019 in the subject Business economics - Business Management, Corporate Governance, , language: English, abstract: Geopolitically, economically and technologically, the world is in a state of upheaval. Technological progress is shortening innovation cycles, processes and projects in companies are steadily gaining in complexity, and the globalized economy is producing increasingly dynamic markets. In an era characterized by the networking of the real and virtual worlds, data is emerging as the resource of the future. However, the huge amounts of data, also known as Big Da...
Document from the year 2019 in the subject Business economics - Business Management, Corporate Governance, , language: English, abstract: Geopolitically, economically and technologically, the world is in a state of upheaval. Technological progress is shortening innovation cycles, processes and projects in companies are steadily gaining in complexity, and the globalized economy is producing increasingly dynamic markets. In an era characterized by the networking of the real and virtual worlds, data is emerging as the resource of the future. However, the huge amounts of data, also known as Big Data, demand that they be used effectively. As a result, management must make increasingly frequent and complex decisions. However, human working time is scarce and the question arises as to whether human capacity, intelligence and creativity can still cope with the increasing demands. Could AI, using Big Data, possibly act as a success factor, in corporate decision making? Under this question, Mayer compares the decision-making of a human with that of an artificial intelligence. The focus here is primarily on the economic goal idea. What basic requirements does an AI need? What risks open up, among other things in terms of loss of control, ethics or data protection? And to what extent are the numerous visions actually realizable in practice? From the contents: - Digitization - Big Data - Artificial Intelligence - Management 4.0 - Enterprise
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