03835nam a22005535i 4500 978-3-031-54383-8 DE-He213 20251030112315.0 cr nn 008mamaa 240617s2024 sz | s |||| 0|eng d 9783031543838 978-3-031-54383-8 10.1007/978-3-031-54383-8 doi TA329-348 TA345-345.5 TBJ bicssc TEC009000 bisacsh TBJ thema The AI Revolution: Driving Business Innovation and Research [electronic resource] : Volume 2 / edited by Bahaa Awwad. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIV, 1088 p. 182 illus., 122 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Systems, Decision and Control, 2198-4190 ; 525 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. Engineering mathematics. 64145 Engineering Data processing. Artificial intelligence. 58441 Mathematical and Computational Engineering Applications. Artificial Intelligence. 58441 Data Engineering. 66059 Awwad, Bahaa. editor. edt http://id.loc.gov/vocabulary/relators/edt 77131 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031543821 Printed edition: 9783031543845 Printed edition: 9783031543852 Studies in Systems, Decision and Control, 2198-4190 ; 525 https://doi.org/10.1007/978-3-031-54383-8 ZDB-2-ENG ZDB-2-SXE 60771 60771