1.

Record Nr.

UNINA9910864180203321

Autore

Awwad Bahaa

Titolo

The AI Revolution: Driving Business Innovation and Research : Volume 1 / / edited by Bahaa Awwad

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024

ISBN

3-031-54379-3

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (917 pages)

Collana

Studies in Systems, Decision and Control, , 2198-4190 ; ; 524

Disciplina

620

Soggetti

Engineering mathematics

Engineering - Data processing

Artificial intelligence

Mathematical and Computational Engineering Applications

Artificial Intelligence

Data Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

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.

Sommario/riassunto

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.