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

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

Bibliographic Details
Other Authors: Hechler, Eberhard, author (author), Oberhofer, Martin, 1930- author (writer of foreword), Schaeck, Thomas, author, Thummalapalli, Srinivas, writer of foreword
Format: eBook
Language:Inglés
Published: [Berkeley, California] : Apress [2020]
Subjects:
Artificial intelligence.
Machine learning.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630833606719
Table of Contents:
  • 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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