Ramesh Sharda – författare

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”

India is becoming the "global back office" to international supply chains, creating a substantial communications and decision-support infrastructure for large and small enterprises in the global market place to utilize these resources. Decision Support for Global Enterprises consists of peer-reviewed and invited papers with two primary goals: (1) Stimulate creative discussion between academic researchers and the practitioner IS community to improve the research and practice in the area. (2) Increase awareness of the problems and challenges faced by global enterprises that can be met with innovative decision support systems. Limitations are also explored, covering the following topics: (1) the emerging enterprise decision making processes and technologies; (2) decision making in uncertain, changing conditions; (3) the changing infrastructure in organizations and society; (4) the expanding role of web technologies; and (5) emerging theories and practices for managing knowledge and making decisions.

For courses in decision support systems, computerised decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisions Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

For courses in decision support systems, computerized decision-making tools, and management support systems.

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganization reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

This volume of Annals of Information Systems will acknowledge the twentieth anniversary of the founding of the International Society for Decision Support Systems (ISDSS) by documenting some of the current best practices in teaching and research and envisioning the next twenty years in the decision support systems field. The volume is intended to complement existing DSS literature by offering an outlet for thoughts and research particularly suited to the theme of describing the next twenty years in the area of decision support.

Several subthemes are planned for the volume. One subtheme draws on the assessments of internationally known DSS researchers to evaluate where the field has been and what has been accomplished. A second subtheme of the volume will be describing the current best practices of DSS research and teaching efforts. A third subtheme will be an assessment by top DSS scholars on where the DSS discipline needs to focus in the future. The tone of this volume is one of enthusiasm for the potential contributions to come in the area of DSS; contributions that must incorporate an understanding of what has been accomplished in the past, build on the best practices of today, and be be integrated into future decision making practices.

The primary questions raised by this volume are:

Inteligencia de negocios, analítica, ciencia de datos e IA. Una perspectiva gerencial es un eText que ofrece a los estudiantes una visión clara y actual de cómo las organizaciones modernas utilizan la analítica, la ciencia de datos y la inteligencia artificial para apoyar la toma de decisiones. A través de un enfoque accesible y orientado a la gestión, este eText explica cómo transformar datos en información valiosa que impulsa la eficiencia, la innovación y la ventaja competitiva.

El contenido integra de forma práctica conceptos clave —desde la analítica descriptiva, predictiva y prescriptiva hasta tecnologías emergentes como el aprendizaje profundo, los chatbots y el Internet de las Cosas—, mostrando cómo se aplican en distintos contextos empresariales. Con ejemplos reales, herramientas actuales y un enfoque de aprendizaje basado en exposición, experiencia y exploración, este eText ayuda a desarrollar tanto el conocimiento conceptual como la capacidad de aplicar analítica e IA en escenarios reales de negocio.

Inteligencia de negocios, analítica, ciencia de datos e IA. Una perspectiva gerencial es un eText que ofrece a los estudiantes una visión clara y actual de cómo las organizaciones modernas utilizan la analítica, la ciencia de datos y la inteligencia artificial para apoyar la toma de decisiones. A través de un enfoque accesible y orientado a la gestión, este eText explica cómo transformar datos en información valiosa que impulsa la eficiencia, la innovación y la ventaja competitiva.

El contenido integra de forma práctica conceptos clave —desde la analítica descriptiva, predictiva y prescriptiva hasta tecnologías emergentes como el aprendizaje profundo, los chatbots y el Internet de las Cosas—, mostrando cómo se aplican en distintos contextos empresariales. Con ejemplos reales, herramientas actuales y un enfoque de aprendizaje basado en exposición, experiencia y exploración, este eText ayuda a desarrollar tanto el conocimiento conceptual como la capacidad de aplicar analítica e IA en escenarios reales de negocio.