Enterprise AI in the Cloud - Rabi Jay

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Résumé :
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Biographie:
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Sommaire:
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