Deploying AI in the enterprise IT approaches for design, DevOps, governance, change management, blockchain, and quantum computing
And you will come away with an understanding of how to effectively leverage AI to augment usage of core information in Master Data Management (MDM) solutions. What You Will Learn Understand the most important AI concepts, including machine learning and deep learning Follow best practices and methods...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
[Berkeley, California]
Apress
2020
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Includes bibliographical references and index
- 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