rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Leveraging LLMs for business innovation
    sub title: practical solutions and future trends
  title info:
    title: Leveraging large language models for business innovation
  name:
    name part: Ismail, Sherif Mohamed A.
    name part: 1973-
    role:
      role term: editor.
  name:
    name part: IGI Global Online
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource ( 19 PDFs 476 pages) :
  table of contents: Preface -- Chapter 1. Diving Deep Into the World of LLMs -- Chapter 2. Building With LLMs: Strategies for Real-World Business Implementation -- Chapter 3. Retrieval-Augmented Generation (RAG) for Enterprise Intelligence: Architectures, Applications, and Future Trends -- Chapter 4. Fine-Tuning Large Language Models for Domain-Specific Business Applications -- Chapter 5. Intelligent Enterprises- Harnessing Large Language Models for Forecasting, Decision-Making, and Strategic Automation -- Chapter 6. Economic Implications of Artificial Intelligence Adoption in Business Processes -- Chapter 7. Enhancing Fraud Detection and Financial Forecasting: The Role of LLMs in Healthcare and Finance -- Chapter 8. LLMs in ERP: Enhancing Financial Reporting -- Chapter 9. Large Language Models (LLM) and Islamic Finance: Enhancing Transparency, Risk Management, and Customer Experience -- Chapter 10. GenAI for Sales Enablement in Direct Selling: Automating Personalized Customer Outreach With LLMs -- Chapter 11. From Compliance to Consciousness: Ethical Governance of LLMs in Business Applications Practices -- Chapter 12. Collaboration: Emerging Trends in LLM Technology and Their Implications for Business -- Chapter 13. Strategic Integration of Large Language Models for Business Transformation: Frameworks, Use Cases, and Ethical Considerations -- Compilation of References -- About the Contributors -- Index.
  target audience: specialized
  note: [edited by] Sherif Mohamed A. Ismail.
  note: Includes bibliographic references and index.
  subject:
    topic: Technological innovations
    topic: Management
  subject:
    topic: Natural language processing (Computer science)
  subject:
    topic: Artificial intelligence
    topic: Business applications
  subject:
    topic: Innovations
    topic: Gestion
  subject:
    topic: Traitement automatique des langues naturelles
  subject:
    topic: Artificial Intelligence.
  subject:
    topic: Automation.
  subject:
    topic: Business Process Management.
  subject:
    topic: Computer Programming.
  subject:
    topic: Customer Engagement.
  subject:
    topic: Data Science.
  subject:
    topic: Fraud Detection.
  subject:
    topic: Generative AI.
  subject:
    topic: Large Language Models.
  subject:
    topic: Marketing and Consumer Science.
  subject:
    topic: Predictive Analytics.
  subject:
    topic: Risk Management.
  classification: HD45 .L43685 2026
  classification: 658.5/14
  related item:
    title info:
      title: Leveraging LLMs for Business Innovation
    name:
      name part: Mohamed A. Ismail, Sherif
    origin info:
      publisher: Hershey : IGI Global Scientific Publishing,c2026
  identifier: 9798337339146
  identifier: 9798337339153
  identifier: 9798337339122
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: IGIGL
    record creation date: 260213
    record change date: 20260514152358.1
    record identifier: in00005784201
    language of cataloging:
      language term: eng