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Artificial intelligence design and solution for risk and security /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Addo, Archie (Autor), Centhala, Srini (Autor), Shanmugam, Muthu (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Business Expert Press, 2020.
Edición:First edition.
Colección:Business law and corporate risk management collection.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Addo, Archie,  |e author. 
245 1 0 |a Artificial intelligence design and solution for risk and security /  |c Archie Addo, Srini Centhala, and Muthu Shanmugam. 
250 |a First edition. 
264 1 |a New York, NY :  |b Business Expert Press,  |c 2020. 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Business law and corporate risk management collection,  |x 2333-6730 
588 0 |a Online resource; title from title page (Safari, viewed August 6, 2020). 
504 |a Includes bibliographical references. 
505 0 |a Introduction -- Artificial intelligence/machine learning project architecture and design -- Knowledge Base -- Root cause analytics and analysis -- Recommendation engine -- Functional domain -- Futuristic artificial intelligence -- Conclusion. 
520 3 |a 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. In particular, this book provides explanatory and "how to implement" guidance on foundational analytics that logistics professionals can employ to generate practical insights to facilitate their daily and longer-term logistics management activities. This book can also serve as a valuable resource or secondary text for graduate and advanced undergraduate students. Students will develop an understanding of leading edge, real world approaches for logistics planning and scheduling, decision support, performance measurement and other key logistics activities 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Business enterprises  |x Computer networks  |x Security measures. 
650 0 |a Artificial intelligence. 
650 0 |a Risk assessment. 
650 0 |a Machine learning. 
650 0 |a Artificial intelligence  |x Industrial applications. 
650 0 |a Information technology  |x Security measures. 
650 6 |a Intelligence artificielle. 
650 6 |a Évaluation du risque. 
650 6 |a Apprentissage automatique. 
650 6 |a Intelligence artificielle  |x Applications industrielles. 
650 6 |a Technologie de l'information  |x Sécurité  |x Mesures. 
650 7 |a artificial intelligence.  |2 aat 
650 7 |a risk assessment.  |2 aat 
650 7 |a Artificial intelligence  |2 fast 
650 7 |a Artificial intelligence  |x Industrial applications  |2 fast 
650 7 |a Business enterprises  |x Computer networks  |x Security measures  |2 fast 
650 7 |a Information technology  |x Security measures  |2 fast 
650 7 |a Machine learning  |2 fast 
650 7 |a Risk assessment  |2 fast 
700 1 |a Centhala, Srini,  |e author. 
700 1 |a Shanmugam, Muthu,  |e author. 
758 |i has work:  |a Artificial intelligence design and solution for risk and security (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCYXhYVDtCx8mJkCTQcTCQq  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Addo, Archie.  |t Artificial Intelligence Design and Solution for Risk and Security.  |d New York : Business Expert Press, ©2020 
830 0 |a Business law and corporate risk management collection.  |x 2333-6730 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6134048  |z Texto completo 
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