Enterprise AI in the Cloud
A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions
(Sprache: Englisch)
Develop and implement a custom, enterprise-wide AI solution with guidance from a renowned industry leader
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Develop and implement a custom, enterprise-wide AI solution with guidance from a renowned industry leader In Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions, digital platform strategist and architect Rabi Jay delivers a start-to-finish resource for professionals and companies who seek to implement new AI tech--including generative AI and machine learning (ML)--in their day-to-day operations.
The ultimate go-to guide for setting up cloud AI platforms quickly and confidently, this book shows you how to start an enterprise-wide AI transformation effort, from ideation to implementation, with clearly defined processes, numerous examples, and hands-on exercises. The author offers expert guidance on cloud platform selection and integration, as well as best practices on optimizing cloud infrastructure for scalability and automation. He also provides review questions and answers at the end of each chapter to develop your understanding and improve retention of the discussed topics.
Perfect for beginning and experienced AI and ML Operations engineers, Enterprise AI in the Cloud walks you through how to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments.
Inhaltsverzeichnis zu „Enterprise AI in the Cloud “
Introduction xviiPart 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
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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
Chapter 25: Planning for the Future of AI 465
Chapter 26: Continuing Your AI Journey 479
Index 485
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Autoren-Porträt von Rabi Jay
RABI JAY is a recognized IT expert with over 15 years of experience working in roles such as VP of Architecture, Digital Platform Strategy Lead, and Global Alliance Manager at Deloitte Consulting, as well as at HCL America and SapientRazorfish. He has been instrumental in driving large-scale, enterprise-level Cloud and AI transformations across diverse industries like retail, telecom, finance, and tech. He holds sought-after certifications in AWS Machine Learning, AWS Solutions Architect, and Microsoft Azure. You can connect with Rabi through his authoritative LinkedIn newsletter, Enterprise AI Transformation.
Bibliographische Angaben
- Autor: Rabi Jay
- 2024, 1. Auflage, 528 Seiten, Maße: 18,8 x 23,6 cm, Kartoniert (TB), Englisch
- Verlag: Wiley & Sons
- ISBN-10: 1394213050
- ISBN-13: 9781394213054
- Erscheinungsdatum: 02.01.2024
Sprache:
Englisch
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