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  <titleInfo>
    <title>Knowledge Management and Artificial Intelligence for Growth</title>
    <subTitle>Cases from Emerging and Developed Economies</subTitle>
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    <namePart>Bianchi, Isaias.</namePart>
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    <namePart>Dávila, Guillermo Antonio.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>VIII, 244 p. 56 illus., 40 illus. in color. online resource.</extent>
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  <abstract>This book delves into the intersection of Knowledge Management (KM) and Artificial Intelligence (AI). It explores their applications, challenges, and opportunities across various industries and regions. The approach is comprehensive, drawing insights from experts worldwide. The book offers fresh perspectives on using KM and AI as powerful tools for driving business success. It covers research opportunities, real-world case studies, and empirical investigations. Notably, it emphasizes the unique context of knowledge management in the southern hemisphere. The book spans a broad range of subjects, including knowledge absorption capacity as an internationalization driver, quality certification methods in the health sector, and the role of intellectual capital in Argentine tech companies. It also delves into machine learning techniques for property price estimation in Brazil and identity document verification in Peru. Professionals, scholars, and policymakers navigating the complex integration of KM and AI will find this book invaluable. By combining theoretical foundations with practical findings, it equips readers with the knowledge and tools needed for sustainable growth within their organizations. .</abstract>
  <tableOfContents>1. Research Opportunities on Knowledge Management and Artificial Intelligence -- 2. Knowledge absorptive capacity as a factor for Brazilian companies to advance to the international market -- 3. Knowledge Management in the Context of the Global South: The Case of Chile -- 4. Success of fintech in the knowledge era- an empirical study -- 5. Intellectual Capital Profiles and Innovation Performance: Navigating Through Argentina's Technology-Based SMEs Landscape -- 6. Towards Sustainable Knowledge: Digital Preservation in the Era of Open Science -- 7. Open Innovation Practices for Artificial Intelligence: a Context-Aware Emotion Application -- 8. Real State price estimation in Brazil using machine learning -- 9. Verification of peruvian identity document fraud through OCR, hash algorithm, and simulated Blockchain database -- 10. Integration of Optical Character Recognition with a blockchain simulator to verify the authenticity of identity documents in Peru -- 11. Regulation of artificial intelligence: Challenges and perspectives in the Andean Community.</tableOfContents>
  <note type="statement of responsibility">edited by Isaias Bianchi, Guillermo Antonio Dávila.</note>
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    <topic>Computational intelligence</topic>
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    <topic>Data processing</topic>
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    <topic>Artificial intelligence</topic>
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    <topic>Computational Intelligence</topic>
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  <subject>
    <topic>Data Engineering</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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      <title>Information Systems Engineering and Management, 8</title>
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  <identifier type="isbn">9783031655524</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-65552-4</identifier>
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