Enterprise AI in the Cloud (eBook)

A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions

Rabi Jay (Autor)

eBook Download: EPUB

2023
John Wiley & Sons (Verlag)
978-1-394-21306-1 (ISBN)

Infos

Embrace emerging AI trends and integrate your operations with cutting-edge solutions

Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation.
Enterprise AI in the Cloud helps you gain a solid understanding of:

• AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation
• State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning
• Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation
• AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms
• AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture
• Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics
• Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model

Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. 

With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.

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.

Inhalt

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

Textauszug

Introduction

WELCOME TO Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions. This book is the definitive guide to equip readers with the methodology and tools necessary to implement artificial intelligence (AI), machine learning (ML), and generative AI technologies. You have in your hands a powerful guide to potentially transform your company and your own career.

In this book, you learn how to

• Develop AI strategy, solve challenges, and drive change
• Identify and prioritize AI use cases, evaluate AI/ML platforms, and launch a pilot project
• Build a dream team, empower people, and manage projects effectively
• Set up an AI infrastructure using the major cloud platforms and scale your operations using MLOps
• Process and engineer data and deploy, operate, and monitor AI models in production
• Use govern models and implement AI ethically and responsibly
• Scale your AI effort by setting up an AI center of excellence (AI COE), an AI operating model, and an enterprise transformation plan
• Evolve your company using generative AI such as ChatGPT, plan for the future, and continuously innovate with AI

From real-world AI implementation, AI/ML use cases, and hands-on labs to nontechnical aspects such as team development and AI-first strategy, this book has it all.

In a nutshell, this book is a comprehensive guide that bridges the gap between theory and real-world AI deployments. It's a blend of strategy and tactics, challenges, and solutions that make it an indispensable resource for those interested in building and operating AI systems for their enterprise.

HOW THIS BOOK IS ORGANIZED

This book is not just a theoretical guide but a practical, hands-on manual to transform your business through AI in the cloud. My aim is to provide you with the tools and knowledge you need to harness the power of AI for your enterprise with a methodology that is comprehensive and deep.

• Part I: Introduction: In Part I, I explain how enterprises are undergoing transformation through the adoption of AI using cloud technologies. I cover industry use cases for AI in the cloud and its benefits, as well as the current state of AI transformation. I also discuss various case studies of successful AI implementations, including the U.S. government, Capital One, and Netflix.
• Part II: Strategizing and Assessing for AI: In this part, I discuss the nitty-gritty of AI, such as the challenges you may face during the AI journey, along with the ethical concerns, and the four phases that you can adopt to build your AI capabilities. I then discuss using a roadmap to develop an AI strategy, finding the best use cases for your project, and evaluating the AI/ML platforms and services from various cloud providers. It's like a step-by-step guide to your AI adventure.
• Part III: Planning and Launching a Pilot Project: This part covers all the challenges and tasks centered on planning and launching a pilot project, including identifying use cases for your project, evaluating appropriate platforms and services, and launching the actual project.
• Part IV: Building and Governing Your Team: People make magic happen! Part IV explores the organizational changes required to empower your workforce. I guide you through the steps to launching your pilot and assembling your dream team. It's all about nurturing the human side of things.
• Part V: Setting Up Infrastructure and Managing Operations: In this part, you roll up your sleeves and get technical. Part V is like your DIY guide to building your own AI/ML platform. Here, I discuss the technical requirements and the daily operations of the platform with a focus on automation and scale. This part is a hands-on toolkit for those who are hungry to get geeky.
• Part VI: Processing Data and Modeling: Data is the lifeblood of AI. Part VI is where you get your hands dirty with data and modeling. I teach you how to process data in the cloud, choose the right AI/ML algorithm based on your use case, and get your models trained, tuned, and evaluated. It is where the science meets the art.
• Part VII: Deploying and Monitoring Models: Yay! It is launching time. Part VII guides you through the process of deploying the model into production for consumption. I also discuss the nuances of monitoring, securing, and governing models so they are working smoothly, safely, and securely.
• Part VIII: Scaling and Transforming AI: You have built it, so now you can make it even bigger! In Part VIII, I present a roadmap to scale your AI transformation. I discuss how to take your game to the next level by introducing the AI maturity framework and establishing an AI COE. I also guide you through the process of building an AI operating model and transformation plan. This is where AI transitions from the project level to an enterprise-level powerhouse.
• Part IX: Evolving and Maturing AI: This is where you peek into a crystal ball. I delve into the exciting world of generative AI, discuss where the AI space is headed, and provide guidance on how to continue your AI journey.

WHO SHOULD READ THIS BOOK?

This book is primarily meant for those serious about implementing AI at the enterprise level. It is for those focused on understanding and implementing AI within the context of enabling and executing upon an enterprise-wide AI strategy. It is a substantive, content-rich resource that requires focused reading and note-taking, with takeaways that you can go back to your company and start implementing. Below are some examples of roles that will benefit.

Data Scientists and AI Teams

This includes data scientists, ML engineers, data engineers, AI architects, and AI/ML project managers interested in learning about the technical and operational aspects of implementing AI in the cloud.

Data scientists and AI teams often struggle with scaling AI/ML models. This book provides comprehensive guidance on processing large volumes of data, choosing the right AI/ML algorithms, and building and deploying models in the cloud.

IT Leaders and Teams

This includes IT managers, cloud architects, IT consultants, system administrators, and solution architects who are responsible for the deployment and operation of AI systems and workloads using the cloud.

This book can help you build a scalable and robust AI infrastructure using cloud components. After reading this book, you can confidently choose the right cloud provider, manage the entire machine learning lifecycle, and integrate with the backend systems.

Students and Academia

This book helps students and people in academia learn about AI and its practical application beyond just theory. It is of particular relevance to those studying business, data science, computer science, and AI-related subjects. If you are looking for a comprehensive and up-to-date treatment of AI implementation, this book is for you.

I encourage you to read the entire book and supplement your reading with additional resources when needed.

Consultants and Advisors

This book will be of great help to consultants and professionals who advise executives, business and technology professionals about implementing AI for their companies. They are looking for best practices and a structured methodology.

Business Strategists and Leaders

These are people who may not be technically savvy but are interested in improving their business processes and strategies using AI.

C-Level Executives

This is a great book for C-level executives who want to learn about the strategic impact, business case, and execution of AI transformation at scale across the enterprise.

One of their major struggles is applying AI practically and profitably into their business processes and strategies. This book provides a detailed list of AI use cases and guides them to develop an AI strategy and business case, thus helping them make intelligent and informed decisions.

WHY YOU SHOULD READ THIS BOOK

We are living in a world where technology is changing rapidly and is impacting both our personal and business lives. In particular, AI and cloud technologies are moving at the speed of light, and businesses are racing to keep up.

For companies, AI and cloud together form the secret weapon to staying competitive, driving cost efficiency, innovating, and delivering outstanding customer experiences.

However, implementing these technologies is not easy. These technologies are constantly evolving with countless tools, platforms, strategies, and the added complexity of ethical considerations. Therefore, you need a comprehensive, practical guide that helps you to adopt these AI and cloud technologies successfully.

You need a guide that is not just theoretical but is also practical so that you can easily understand, access, and implement these technologies successfully. This book will act as your roadmap and as a co-pilot to drive the engine, namely, the cloud and AI technologies.

UNIQUE FEATURES

This book is a toolbox with tools to achieve end-to-end AI transformation. This isn't your regular technical book, and here's why.

Comprehensive Coverage of All Aspects of Enterprise-wide AI Transformation

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Produkt-Details

• Erscheint lt. Verlag: 20.12.2023
• Reihe/Serie: Tech Today
• Reihe/Serie: Tech Today
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Schlagworte: AI • AI Culture • ai systems • Artificial Intelligence • artificial intelligence business • business AI • business AI books • ChatGPT • Cloud • cloud based AI • Cloud Computing • cloud machine learning • Computer Science • corporate ai • Deep learning • Digital transformation • Enterprise AI • Informatik • KI • Künstliche Intelligenz • machine learning • machine learning books • MLOps • Scalable AI • Software engineering • Software-Engineering
• ISBN-10: 1-394-21306-9 / 1394213069
• ISBN-13: 978-1-394-21306-1 / 9781394213061