Deploying AI in the enterprise : IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing /

Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI's capabilities, potential, limitations, and challenges. This book teaches you about...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Hechler, Eberhard (Autor), Oberhofer, Martin (Software architect) (Autor), Schaeck, Thomas (Autor)
Otros Autores: Thummalapalli, Srinivas (writer of foreword.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, California] : Apress, [2020]
Temas:
Artificial intelligence.
Machine learning.
Computer software.
Quantum computers.
Artificial Intelligence
Software
Machine Learning
Intelligence artificielle.
Apprentissage automatique.
Logiciels.
Ordinateurs quantiques.
artificial intelligence.
software.
Quantum computers
Machine learning
Computer software
Artificial intelligence
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Part I: Getting Started
  • Chapter 1: AI Introduction
  • Chapter 2: AI Historical Perspective
  • Chapter 3: Key ML, DL and Decision Optimization Concepts
  • Part II: AI Deployment
  • Chapter 4: AI Information Architecture
  • Chapter 5: From Data to Predictions to Optimal Actions
  • Chapter 6: The Operationalization of AI
  • Chapter 7: Design Thinking and DevOps in the AI Context
  • Part III: AI in Context
  • Chapter 8: Applying AI to Data Governance and MDM
  • Chapter 9: AI and Governance
  • Chapter 10: AI and Change Management
  • Chapter 11: AI and Blockchain
  • Chapter 12: AI and Quantum Computing
  • Part IV: AI Limitations and Future Challenges
  • Chapter 13: Limitations of AI
  • Chapter 14: In Summary and Onward
  • Chapter 15: Appendix: Abbreviations.

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