Isbn: 9786200003256 - management control system principles, learning machines and ai (10 resultados)

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Paperback. Condición: Brand New. 92 pages. 8.66x5.91x0.21 inches. In Stock.

Taschenbuch. Condición: Neu. Management Control System principles, learning machines and AI | Martin Johansson (u. a.) | Taschenbuch | 92 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200003256 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -How shall a business adapt its management control systems when learning machines enter the arena Will the control system continue to focus on humans aspects and continue to consider a learning machine to be an automation tool as any other historically programmed computer Learning machines introduces productivity capabilities that achieve very high levels of efficiency and quality. A learning machine can sort through large amounts of data and make conclusions difficult by a human mind. However, as learning machines become even more complex systems, they introduce an uncertainty not previously considered by automation tools. The algorithms can make their own associations, and the automation engineer will no longer know exactly how a learning machine produces its outcome. What is the motive for a learning machine's decision A learning machine in this context becomes more human-like compared to the older generation of automation computers. This research concludes that most contemporary Management Control System principles are relevant when deploying machine learning, but some are not. These conclusions are based on empirical data from contemporary sources. 92 pp. Englisch.…

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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - How shall a business adapt its management control systems when learning machines enter the arena Will the control system continue to focus on humans aspects and continue to consider a learning machine to be an automation tool as any other historically programmed computer Learning machines introduces productivity capabilities that achieve very high levels of efficiency and quality. A learning machine can sort through large amounts of data and make conclusions difficult by a human mind. However, as learning machines become even more complex systems, they introduce an uncertainty not previously considered by automation tools. The algorithms can make their own associations, and the automation engineer will no longer know exactly how a learning machine produces its outcome. What is the motive for a learning machine's decision A learning machine in this context becomes more human-like compared to the older generation of automation computers. This research concludes that most contemporary Management Control System principles are relevant when deploying machine learning, but some are not. These conclusions are based on empirical data from contemporary sources.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Johansson MartinMartin is a M.sc, MBA and result focused manager with broad experience in quality management, sustaining engineering from Operations, R&D and project management.How shall a business adapt its management control sy.…

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -How shall a business adapt its management control systems when learning machines enter the arena Will the control system continue to focus on humans aspects and continue to consider a learning machine to be an automation tool as any other historically programmed computer Learning machines introduces productivity capabilities that achieve very high levels of efficiency and quality. A learning machine can sort through large amounts of data and make conclusions difficult by a human mind. However, as learning machines become even more complex systems, they introduce an uncertainty not previously considered by automation tools. The algorithms can make their own associations, and the automation engineer will no longer know exactly how a learning machine produces its outcome. What is the motive for a learning machine's decision A learning machine in this context becomes more human-like compared to the older generation of automation computers. This research concludes that most contemporary Management Control System principles are relevant when deploying machine learning, but some are not. These conclusions are based on empirical data from contemporary sources.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.…