The AI Revolution: Driving Business Innovation and Research [electronic resource] : Volume 2 / edited by Bahaa Awwad.

Colaborador(es): Awwad, Bahaa [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Systems, Decision and Control ; 525Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XIV, 1088 p. 182 illus., 122 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031543838Tema(s): Engineering mathematics | Engineering -- Data processing | Artificial intelligence | Mathematical and Computational Engineering Applications | Artificial Intelligence | Data EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 620 Clasificación LoC:TA329-348TA345-345.5Recursos en línea: Libro electrónicoTexto
Contenidos:
The Rise of AI: Transforming the Business Landscape -- Enhancing Customer Experience with AI -- Data-Driven Decision-Making: Insights and Analytics -- Digital Transformation: Accelerating Organizational Success in the Digital Age -- The Role of Artificial Intelligence in Business Strategy and Decision Making -- Blockchain Technology: Revolutionizing Trust and Transparency in Supply Chains -- Data Analytics and Business Intelligence: Unveiling Insights for Competitive Advantage -- Cybersecurity: Safeguarding Businesses in the Digital Landscape -- The Internet of Things (IoT): Bridging the Physical and Digital Worlds.
En: Springer Nature eBookResumen: This comprehensive book explores the transformative role of artificial intelligence (AI) in business innovation and research. It provides a solid foundation in AI technologies, such as machine learning, natural language processing, and computer vision, and examines how they reshape business models and revolutionize industries. The book highlights the strategic implications of AI in enhancing customer experience, optimizing operations, and enabling data-driven decision-making. It explores the integration of AI with emerging trends like IoT, blockchain, and cloud computing for innovation. The role of AI in advancing scientific discovery and academic research is also explored, addressing challenges and opportunities in AI-driven methodologies. Organizational and ethical dimensions of AI implementation are considered, including talent acquisition, skills development, and data governance. Real-world case studies showcase AI's transformative power across diverse industries. This forward-thinking guide equips academics, researchers, and business leaders with knowledge and insights to harness the potential of AI and contribute to innovation and research.
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The Rise of AI: Transforming the Business Landscape -- Enhancing Customer Experience with AI -- Data-Driven Decision-Making: Insights and Analytics -- Digital Transformation: Accelerating Organizational Success in the Digital Age -- The Role of Artificial Intelligence in Business Strategy and Decision Making -- Blockchain Technology: Revolutionizing Trust and Transparency in Supply Chains -- Data Analytics and Business Intelligence: Unveiling Insights for Competitive Advantage -- Cybersecurity: Safeguarding Businesses in the Digital Landscape -- The Internet of Things (IoT): Bridging the Physical and Digital Worlds.

This comprehensive book explores the transformative role of artificial intelligence (AI) in business innovation and research. It provides a solid foundation in AI technologies, such as machine learning, natural language processing, and computer vision, and examines how they reshape business models and revolutionize industries. The book highlights the strategic implications of AI in enhancing customer experience, optimizing operations, and enabling data-driven decision-making. It explores the integration of AI with emerging trends like IoT, blockchain, and cloud computing for innovation. The role of AI in advancing scientific discovery and academic research is also explored, addressing challenges and opportunities in AI-driven methodologies. Organizational and ethical dimensions of AI implementation are considered, including talent acquisition, skills development, and data governance. Real-world case studies showcase AI's transformative power across diverse industries. This forward-thinking guide equips academics, researchers, and business leaders with knowledge and insights to harness the potential of AI and contribute to innovation and research.

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