Giuseppe Nicosia (ed.); Varun Ojha (ed.); Emanuele La Malfa (ed.); Gabriele La Malfa (ed.); Panos Pardalos (ed.); Di Fatta Springer (2023) Pehmeäkantinen kirja
Devraj Bardhan; Axel Baumgartl; Nga-Sze Choi; Mark Dudgeon; Piotr Górecki; Asidhara Lahiri; Bert Meijerink; Worsley-Tonks SAP Press (2021) Kovakantinen kirja
Pearson Education Limited Sivumäärä: 736 sivua Asu: Pehmeäkantinen kirja Painos: 5 ed Julkaisuvuosi: 2024, 17.06.2024 (lisätietoa) Kieli: Englanti
Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.
The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”
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