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Organizational Learning in the Age of Data

BuchGebunden
307 Seiten
Englisch
Springererschienen am09.07.20211st ed. 2021
This book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices.mehr
Verfügbare Formate
BuchGebunden
EUR96,29
BuchKartoniert, Paperback
EUR69,54
E-BookPDF1 - PDF WatermarkE-Book
EUR69,54

Produkt

KlappentextThis book discusses the impact of advanced information technologies, such as data processing, machine learning, and artificial intelligence, on organizational decision-making processes and practices.
Details
ISBN/GTIN978-3-030-74865-4
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum09.07.2021
Auflage1st ed. 2021
ReiheEAI/Springer Innovations in Communication and Computing
Seiten307 Seiten
SpracheEnglisch
IllustrationenXV, 307 p. 67 illus., 9 illus. in color.
Artikel-Nr.16383514

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Out with the Old In with the New.- Democratization of Organizations.- Organizational Dynamics and Individual Cognition.- Learning with Data: A Brief History.- Learning with Data in the 21st Century.- Managing by the Numbers.- Decision Automation.- In Machine we Trust.- Letting Go - Knowing When and How.- The Future.- Conclusion.mehr

Schlagworte

Autor

Dr. Andrew Banasiewicz is a professor of practice and the director of data science and business analytics programs at Merrimack College, a professor of business analytics at Cambridge College, and the founder of Erudite Analytics, a data analytical consultancy focused on risk assessment. Formerly, Dr. Banasiewicz served as a full-time faculty at Boston University, a part-time faculty at Providence College and Harvard University, and a visiting lecturer at universities in Europe and Asia. Before embarking on academic and consulting career, he spent two decades working as a senior-level quantitative risk and marketing analyst focusing primary on research design and sampling, predictive modeling and general statistical data analyses, text mining, and impact measurement; he has extensive, hands-on data analytical experience in a wide range of industries including energy, utilities, automotive, financial services, pharmaceuticals, consumer packaged goods, gaming and hospitality. He is the author of five other analytics-focused books, in addition to multiple methodological journal articles and industry white papers. A frequent speaker at national and international professional meetings and conferences, Dr. Banasiewicz is also a Fellow of several professional and academic associations.