Artificial intelligence design and solution for risk and security:
Chapter 1. Introduction -- Chapter 2. Artificial intelligence/machine learning project architecture and design -- Chapter 3. Knowledge base -- Chapter 4. Root cause analytics and analysis -- Chapter 5. Recommendation engine -- Chapter 6. Functional domain -- Chapter 7. Futuristic artificial intellig...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, New York (222 East 46th Street, New York, NY 10017)
Business Expert Press
2020
|
| Ausgabe: | First edition |
| Schriftenreihe: | Business law and corporate risk management collection
|
| Schlagworte: | |
| Online-Zugang: | FHN01 UBY01 Volltext |
| Zusammenfassung: | Chapter 1. Introduction -- Chapter 2. Artificial intelligence/machine learning project architecture and design -- Chapter 3. Knowledge base -- Chapter 4. Root cause analytics and analysis -- Chapter 5. Recommendation engine -- Chapter 6. Functional domain -- Chapter 7. Futuristic artificial intelligence -- Chapter 8. Conclusion As we head into the ever-more globalized world of the 2020's, the critical role that logistics planning and operations plays in assuring a firm's financial well-being escalates in importance almost daily. Furthermore, the role of analytics in guiding both logistics planning and operational activities has dramatically spiked in the last decade, and this exponential growth shows no sign of slackening. As the phenomenon of Big Data has taken hold in the private sector, firms which as recently as ten years ago devoted minimal resources to large scale data mining and analytics have reversed course, and invested heavily in data analytics. In this environment, logistics professionals must have at their disposal, and must understand how to utilize a broad array of analytic techniques and approaches to logistics decision-making. Effective use of analytics requires a strong understanding of both fundamental and advanced logistics decision-making techniques and methodologies. Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks. In this book, based on twenty-five plus years of logistics industry practice, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision-making across functions such as manufacturing, warehousing, transportation and inventory management. Further we also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical and operational planning and scheduling decisions. This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges. |
| Beschreibung: | Includes bibliographical references (pages 101-104) and index |
| Beschreibung: | 1 Online-Ressource (110 pages) |
| ISBN: | 9781951527495 9781951527488 |
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| 520 | |a Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks. In this book, based on twenty-five plus years of logistics industry practice, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision-making across functions such as manufacturing, warehousing, transportation and inventory management. Further we also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical and operational planning and scheduling decisions. This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges. | ||
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| discipline | Informatik |
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| illustrated | Not Illustrated |
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| spelling | Addo, Archie Verfasser aut Artificial intelligence design and solution for risk and security Archie Addo, Srini Centhala, and Muthu Shanmugam First edition New York, New York (222 East 46th Street, New York, NY 10017) Business Expert Press 2020 1 Online-Ressource (110 pages) txt rdacontent c rdamedia cr rdacarrier Business law and corporate risk management collection Includes bibliographical references (pages 101-104) and index Chapter 1. Introduction -- Chapter 2. Artificial intelligence/machine learning project architecture and design -- Chapter 3. Knowledge base -- Chapter 4. Root cause analytics and analysis -- Chapter 5. Recommendation engine -- Chapter 6. Functional domain -- Chapter 7. Futuristic artificial intelligence -- Chapter 8. Conclusion As we head into the ever-more globalized world of the 2020's, the critical role that logistics planning and operations plays in assuring a firm's financial well-being escalates in importance almost daily. Furthermore, the role of analytics in guiding both logistics planning and operational activities has dramatically spiked in the last decade, and this exponential growth shows no sign of slackening. As the phenomenon of Big Data has taken hold in the private sector, firms which as recently as ten years ago devoted minimal resources to large scale data mining and analytics have reversed course, and invested heavily in data analytics. In this environment, logistics professionals must have at their disposal, and must understand how to utilize a broad array of analytic techniques and approaches to logistics decision-making. Effective use of analytics requires a strong understanding of both fundamental and advanced logistics decision-making techniques and methodologies. Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks. In this book, based on twenty-five plus years of logistics industry practice, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision-making across functions such as manufacturing, warehousing, transportation and inventory management. Further we also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical and operational planning and scheduling decisions. This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges. Artificial intelligence Risk management Business logistics Management information systems Electronic books Centhala, Srini aut Shanmugam, Muthu aut Erscheint auch als Druck-Ausgabe 9781951527488 https://portal.igpublish.com/iglibrary/search/BEPB0000966.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Addo, Archie Centhala, Srini Shanmugam, Muthu Artificial intelligence design and solution for risk and security Artificial intelligence Risk management Business logistics Management information systems |
| title | Artificial intelligence design and solution for risk and security |
| title_auth | Artificial intelligence design and solution for risk and security |
| title_exact_search | Artificial intelligence design and solution for risk and security |
| title_exact_search_txtP | Artificial intelligence design and solution for risk and security |
| title_full | Artificial intelligence design and solution for risk and security Archie Addo, Srini Centhala, and Muthu Shanmugam |
| title_fullStr | Artificial intelligence design and solution for risk and security Archie Addo, Srini Centhala, and Muthu Shanmugam |
| title_full_unstemmed | Artificial intelligence design and solution for risk and security Archie Addo, Srini Centhala, and Muthu Shanmugam |
| title_short | Artificial intelligence design and solution for risk and security |
| title_sort | artificial intelligence design and solution for risk and security |
| topic | Artificial intelligence Risk management Business logistics Management information systems |
| topic_facet | Artificial intelligence Risk management Business logistics Management information systems |
| url | https://portal.igpublish.com/iglibrary/search/BEPB0000966.html |
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