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[null,"1.","Record Nr.",null,"UNINA9910790447303321"]
[null,null,"Autore",null,"Bateman Nancy"]
[null,null,"Titolo",null,"The business of nurse management [[electronic resource] ] : a toolkit for success / / Nancy Bateman"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Springer, 2012"]
[null,null,"ISBN",null,"1-280-12886-0"]
[{"$nulls":4},"9786613532749"]
[{"$nulls":4},"0-8261-5573-1"]
[null,null,"Descrizione fisica",null,"1 online resource (245 p.)"]
[null,null,"Disciplina",null,"362.173"]
[null,null,"Soggetti",null,"Nurse administrators"]
[{"$nulls":4},"Nursing services - Administration"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"pt. 1. Managing labor and productivity : the nurse manager's role -- pt. 2. Managing nonlabor and supplies -- pt. 3. Finance -- pt. 4. Resource management -- pt. 5. Developing leadership skills."]
[null,null,null,"Sommario/riassunto","\"\"This work is more than a mere academic attempt to define basic management concepts, but rather is a robust toolkit, providing real-life examples and experiences coupled with actual tools and techniques, allowing novice nurse managers to understand concepts such as supply chain management, financial management, and labor and productivity modeling. Additionally, this book serves as a roadmap to the successful implementation of these concepts. I think the author can be confident that there will be many grateful nurse leaders who will have gained a broader perspective of their evolving role, and"]
[null,"2.","Record Nr.",null,"UNINA9910447243903321"]
[null,null,"Autore",null,"Galitsky Boris"]
[null,null,"Titolo",null,"Artificial Intelligence for Customer Relationship Management : Keeping Customers Informed / / by Boris Galitsky"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-52167-2"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XI, 445 p. 261 illus., 147 illus. in color.)"]
[null,null,"Collana",null,"Human–Computer Interaction Series, , 2524-4477"]
[null,null,"Disciplina",null,"005.437"]
[null,null,"Soggetti",null,"User interfaces (Computer systems)"]
[{"$nulls":4},"Human-computer interaction"]
[{"$nulls":4},"Customer relations - Management"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computer simulation"]
[{"$nulls":4},"User Interfaces and Human Computer Interaction"]
[{"$nulls":4},"Customer Relationship Management"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer Modelling"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Distributional Semantics for CRM: Making word2vec Models Robust by Structurizing Them -- Employing Abstract Meaning Representation to Lay the Last Mile towards Reading Comprehension -- Summarized Logical Forms for Controlled Question Answering -- Summarized Logical Forms based on Abstract Meaning Representation and Discourse Trees -- Acquiring New Definitions of Entities -- Inferring Logical Clauses for Answering Complex Multi-hop Open Domain Questions -- Managing Customer Relations in an Explainable Way -- Recognizing Abstract Classes of Text Based on Discourse -- Conversational Explainability for CRM."]
[null,null,null,"Sommario/riassunto","This research monograph brings AI to the field of Customer Relationship Management (CRM) to make a customer experience with a product or service smart and enjoyable. AI is here to help customers to get a refund for a canceled flight, unfreeze a banking account or get a health test result. Today, CRM has evolved from storing and analyzing customers’ data to predicting and understanding their behavior by putting a CRM system in a customers’ shoes. Hence advanced "]
[{"$nulls":4},"reasoning with learning from small data, about customers’ attitudes, introspection, reading between the lines of customer communication and explainability need to come into play. Artificial Intelligence for Customer Relationship Management leverages a number of Natural Language Processing (NLP), Machine Learning (ML), simulation and reasoning techniques to enable CRM with intelligence. An effective and robust CRM needs to be able to chat with customers, providing desired information, completing their transactions and resolving their problems. It introduces a systematic means of ascertaining a customers’ frame of mind, their intents and attitudes to determine when to provide a thorough answer, a recommendation, an explanation, a proper argument, timely advice and promotion or compensation. The author employs a spectrum of ML methods, from deterministic to statistical to deep, to predict customer behavior and anticipate possible complaints, assuring customer retention efficiently. Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals. ."]