Rezaei morteza (51 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Taschenbuch. Zustand: Neu. AI and Automation in Business | Transforming Management with Intelligent Systems | Morteza Rezaei (u. a.) | Taschenbuch | Englisch | 2026 | Scholars' Press | EAN 9786630070002 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: new. Paperback. Artificial Intelligence (AI) has evolved from a theoretical concept into a transformative force reshaping business management. Its roots lie in early computing research during the 1940s and 1950s. Alan Turing, often regarded as the father of modern computing, proposed the concept of machines capable of intelligent behavior, leading to the formalization of AI as a scientific discipline at the Dartmouth Conference in 1956. Early AI in business focused on symbolic reasoning and rule-based systems, where explicit rules guided decision-making. The 1960s and 1970s witnessed the emergence of expert systems such as DENDRAL (for chemical analysis) and MYCIN (for medical diagnosis), demonstrating AI's potential in knowledge-intensive tasks. These early applications were limited by computational power, data availability, and lack of integration with business processes.The 1980s introduced decision support systems (DSS) in business, where AI was used to enhance managerial decisions in finance, logistics, and operations. The 1990s saw the rise of enterprise software integrating AI into workflow automation, customer relationship management (CRM), and supply chain planning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 192 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence (AI) has evolved from a theoretical concept into a transformative force reshaping business management. Its roots lie in early computing research during the 1940s and 1950s. Alan Turing, often regarded as the father of modern computing, proposed the concept of machines capable of intelligent behavior, leading to the formalization of AI as a scientific discipline at the Dartmouth Conference in 1956. Early AI in business focused on symbolic reasoning and rule-based systems, where explicit rules guided decision-making. The 1960s and 1970s witnessed the emergence of expert systems such as DENDRAL (for chemical analysis) and MYCIN (for medical diagnosis), demonstrating AI's potential in knowledge-intensive tasks. These early applications were limited by computational power, data availability, and lack of integration with business processes.The 1980s introduced decision support systems (DSS) in business, where AI was used to enhance managerial decisions in finance, logistics, and operations. The 1990s saw the rise of enterprise software integrating AI into workflow automation, customer relationship management (CRM), and supply chain planning. …

Paperback. Zustand: new. Paperback. Artificial Intelligence (AI) has evolved from a theoretical concept into a transformative force reshaping business management. Its roots lie in early computing research during the 1940s and 1950s. Alan Turing, often regarded as the father of modern computing, proposed the concept of machines capable of intelligent behavior, leading to the formalization of AI as a scientific discipline at the Dartmouth Conference in 1956. Early AI in business focused on symbolic reasoning and rule-based systems, where explicit rules guided decision-making. The 1960s and 1970s witnessed the emergence of expert systems such as DENDRAL (for chemical analysis) and MYCIN (for medical diagnosis), demonstrating AI's potential in knowledge-intensive tasks. These early applications were limited by computational power, data availability, and lack of integration with business processes.The 1980s introduced decision support systems (DSS) in business, where AI was used to enhance managerial decisions in finance, logistics, and operations. The 1990s saw the rise of enterprise software integrating AI into workflow automation, customer relationship management (CRM), and supply chain planning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware 192 pp. Englisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 272 pp. Spanisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - La inteligencia artificial (IA) ha evolucionado de un concepto teórico a una fuerza transformadora que está remodelando la gestión empresarial. Sus raíces se encuentran en las primeras investigaciones informáticas de las décadas de 1940 y 1950. Alan Turing, a menudo considerado el padre de la informática moderna, propuso el concepto de máquinas capaces de exhibir un comportamiento inteligente, lo que condujo a la formalización de la IA como disciplina científica durante la Conferencia de Dartmouth en 1956. En sus inicios en el ámbito empresarial, la IA se centraba en el razonamiento simbólico y en sistemas basados ¿¿en reglas, donde normas explícitas guiaban la toma de decisiones. Las décadas de 1960 y 1970 vieron surgir sistemas expertos como DENDRAL (para análisis químico) y MYCIN (para diagnóstico médico), los cuales demostraron el potencial de la IA en tareas que requerían un alto nivel de conocimiento. Estas primeras aplicaciones estaban limitadas por la capacidad de cómputo, la disponibilidad de datos y la falta de integración con los procesos empresariales.La década de 1980 introdujo los sistemas de apoyo a la decisión (DSS) en las empresas; en ellos, la IA se utilizaba para mejorar las decisiones directivas en áreas como finanzas, logística y operaciones. En la década de 1990 surgió el software empresarial que integraba la IA en la automatización de flujos de trabajo, la gestión de relaciones con los clientes (CRM) y la planificación de la cadena de suministro.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware 272 pp. Spanisch.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 276 pp. Französisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - L'intelligence artificielle (IA) a évolué, passant d'un concept théorique à une force transformatrice qui remodèle la gestion d'entreprise. Ses origines remontent aux premières recherches en informatique des années 1940 et 1950. Alan Turing, souvent considéré comme le père de l'informatique moderne, a proposé le concept de machines capables d'un comportement intelligent, ce qui a conduit à la formalisation de l'IA en tant que discipline scientifique lors de la conférence de Dartmouth en 1956. À ses débuts en entreprise, l'IA reposait principalement sur le raisonnement symbolique et les systèmes fondés sur des règles, où des directives explicites guidaient la prise de décision. Les années 1960 et 1970 ont vu l'émergence de systèmes experts tels que DENDRAL (pour l'analyse chimique) et MYCIN (pour le diagnostic médical), démontrant le potentiel de l'IA dans des tâches nécessitant une expertise pointue. Ces premières applications étaient toutefois limitées par la puissance de calcul, la disponibilité des données et le manque d'intégration aux processus métier.Les années 1980 ont marqué l'introduction des systèmes d'aide à la décision (SAD) en entreprise, l'IA étant alors utilisée pour optimiser les décisions managériales dans les domaines de la finance, de la logistique et des opérations.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware 276 pp. Französisch.

Paperback. Zustand: new. Paperback. Sztuczna inteligencja (AI) przeksztalcila sie z teoretycznej koncepcji w sile napedowa, ktora rewolucjonizuje zarzadzanie przedsiebiorstwami. Jej korzenie siegaja wczesnych badan w dziedzinie informatyki w latach 40. i 50. XX wieku. Alan Turing, czesto uwazany za ojca wspolczesnej informatyki, zaproponowal koncepcje maszyn zdolnych do inteligentnego zachowania, co doprowadzilo do sformalizowania sztucznej inteligencji jako dyscypliny naukowej podczas konferencji w Dartmouth w 1956 roku. Poczatkowo sztuczna inteligencja w biznesie skupiala sie na rozumowaniu symbolicznym i systemach opartych na regulach, w ktorych proces podejmowania decyzji kierowaly jasno okreslone reguly. W latach 60. i 70. pojawily sie systemy eksperckie, takie jak DENDRAL (do analizy chemicznej) i MYCIN (do diagnostyki medycznej), ktore wykazaly potencjal sztucznej inteligencji w zadaniach wymagajacych duzej wiedzy. Te wczesne zastosowania byly ograniczone przez moc obliczeniowa, dostepnosc danych oraz brak integracji z procesami biznesowymi.W latach 80. w biznesie wprowadzono systemy wspomagania decyzji (DSS), w ktorych sztuczna inteligencja byla wykorzystywana do usprawniania decyzji zarzadczych w finansach, logistyce i operacjach. W latach 90. nastapil rozwoj oprogramowania dla przedsiebiorstw, integrujacego sztuczna inteligencje z automatyzacja przeplywu pracy, zarzadzaniem relacjami z klientami (CRM) oraz planowaniem lancucha dostaw. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Zustand: new. Paperback. A Inteligencia Artificial (IA) evoluiu de um conceito teorico para uma forca transformadora que esta a redefinir a gestao empresarial. As suas origens remontam as primeiras investigacoes na area da informatica, durante as decadas de 1940 e 1950. Alan Turing, frequentemente considerado o pai da informatica moderna, propos o conceito de maquinas capazes de comportamentos inteligentes, o que conduziu a formalizacao da IA como disciplina cientifica na Conferencia de Dartmouth, em 1956. Os primeiros passos da IA no mundo empresarial centraram-se no raciocinio simbolico e em sistemas baseados em regras, nos quais regras explicitas orientavam a tomada de decisoes. As decadas de 1960 e 1970 testemunharam o surgimento de sistemas especialistas, como o DENDRAL (para analise quimica) e o MYCIN (para diagnostico medico), demonstrando o potencial da IA em tarefas intensivas em conhecimento. Estas primeiras aplicacoes eram limitadas pelo poder computacional, pela disponibilidade de dados e pela falta de integracao com os processos empresariais.A decada de 1980 introduziu os sistemas de apoio a decisao (DSS) no mundo empresarial, onde a IA era utilizada para melhorar as decisoes de gestao nas areas das financas, logistica e operacoes. A decada de 1990 assistiu a ascensao do software empresarial que integrava a IA na automatizacao de fluxos de trabalho, na gestao de relacoes com os clientes (CRM) e no planeamento da cadeia de abastecimento. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Zustand: new. Paperback. L'intelligenza artificiale (IA) si e evoluta da concetto teorico a forza trasformativa che sta ridefinendo la gestione aziendale. Le sue radici affondano nelle prime ricerche nel campo dell'informatica, condotte negli anni '40 e '50. Alan Turing, spesso considerato il padre dell'informatica moderna, propose il concetto di macchine capaci di comportamenti intelligenti, portando alla formalizzazione dell'IA come disciplina scientifica in occasione della Conferenza di Dartmouth del 1956. Le prime applicazioni dell'IA nel mondo degli affari si concentravano sul ragionamento simbolico e sui sistemi basati su regole, in cui regole esplicite guidavano il processo decisionale. Gli anni '60 e '70 videro l'emergere di sistemi esperti come DENDRAL (per l'analisi chimica) e MYCIN (per la diagnosi medica), che dimostrarono il potenziale dell'IA in attivita ad alta intensita di conoscenza. Queste prime applicazioni erano limitate dalla potenza di calcolo, dalla disponibilita dei dati e dalla mancanza di integrazione con i processi aziendali.Gli anni '80 hanno introdotto i sistemi di supporto decisionale (DSS) nel mondo aziendale, in cui l'IA veniva utilizzata per migliorare le decisioni manageriali in ambito finanziario, logistico e operativo. Gli anni '90 hanno visto l'ascesa del software aziendale che integrava l'IA nell'automazione dei flussi di lavoro, nella gestione delle relazioni con i clienti (CRM) e nella pianificazione della catena di approvvigionamento. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…