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· 분류 : 외국도서 > 컴퓨터 > 기계이론
· ISBN : 9781394213054
· 쪽수 : 528쪽
· 출판일 : 2024-01-11
목차
Introduction xvii
Part I: Introduction
Chapter 1: Enterprise Transformation with AI in the Cloud 3
Chapter 2: Case Studies of Enterprise AI in the Cloud 19
Part II: Strategizing and Assessing for Ai
Chapter 3: Addressing the Challenges with Enterprise AI 31
Chapter 4: Designing AI Systems Responsibly 41
Chapter 5: Envisioning and Aligning Your AI Strategy 50
Chapter 6: Developing An AI Strategy and Portfolio 57
Chapter 7: Managing Strategic Change 66
Part III: Planning and Launching a Pilot Project
Chapter 8: Identifying Use Cases for Your AI/ml Project 79
Chapter 9: Evaluating AI/ml Platforms and Services 106
Chapter 10: Launching Your Pilot Project 152
Part IV: Building and Governing Your Team
Chapter 11: Empowering Your People Through Org Change Management 163
Chapter 12: Building Your Team 173
Part V: Setting Up Infrastructure and Managing Operations
Chapter 13: Setting Up An Enterprise AI Cloud Platform Infrastructure 187
Chapter 14: Operating Your AI Platform with Mlops Best Practices 217
Part VI: Processing Data and Modeling
Chapter 15: Process Data and Engineer Features in The Cloud 243
Chapter 16: Choosing Your AI/ml Algorithms 268
Chapter 17: Training, Tuning, and Evaluating Models 315
Part VII: Deploying and Monitoring Models
Chapter 18: Deploying Your Models Into Production 345
Chapter 19: Monitoring Models 361
Chapter 20: Governing Models for Bias and Ethics 377
Part VIII: Scaling and Transforming AI
Chapter 21: Using the AI Maturity Framework to Transform Your Business 391
Chapter 22: Setting Up Your AI Coe 407
Chapter 23: Building Your AI Operating Model and Transformation Plan 416
Part IX: Evolving and Maturing AI
Chapter 24: Implementing Generative AI Use Cases With Chatgpt for the Enterprise 433
Chapter 25: Planning for the Future of AI 465
Chapter 26: Continuing Your AI Journey 479
Index 485
