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The AI Revolution: Driving Business Innovation and Research [electronic resource] : Volume 1 / edited by Bahaa Awwad.

Contributor(s): Material type: TextSeries: Studies in Systems, Decision and Control ; 524Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XV, 945 p. 81 illus., 68 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031543791
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • TA329-348
  • TA345-345.5
Online resources:
Contents:
Marketing strategies of the enterprise in the market of building structures in the period of recovery of Ukraine -- WILL E-FILLING BE EFFECTIVE IN INCREASING INVIDUAL TAXPAYER COMPLIANCE? -- The Influence of COVID-19 and Subsequent Events on the Decision-Making of Retail Investors in Kingdom of Bahrain: A Behavioral Finance Analysis -- Institutional Aspects of Rivalry for Technological Leadership: Market vs. Security -- Sustainable Supply Chain Management and Banks Performance: Evidence from Banking Sector in Nigeria -- THE CONCEPT OF ACCOUNTING IN ISLAMIC TRANSACTIONS -- Factors Influencing Board Gender Diversity in the Nigerian Capital Market.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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Marketing strategies of the enterprise in the market of building structures in the period of recovery of Ukraine -- WILL E-FILLING BE EFFECTIVE IN INCREASING INVIDUAL TAXPAYER COMPLIANCE? -- The Influence of COVID-19 and Subsequent Events on the Decision-Making of Retail Investors in Kingdom of Bahrain: A Behavioral Finance Analysis -- Institutional Aspects of Rivalry for Technological Leadership: Market vs. Security -- Sustainable Supply Chain Management and Banks Performance: Evidence from Banking Sector in Nigeria -- THE CONCEPT OF ACCOUNTING IN ISLAMIC TRANSACTIONS -- Factors Influencing Board Gender Diversity in the Nigerian Capital Market.

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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