Enterprise AI in the Cloud A Practical Guide to Deploying End to End Machine Learning and ChatGPT Solutions 1st Edition Rabi Jay 1394213050 9781394213054
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ISBN 10: 1394213050
ISBN 13: 9781394213054
Author: Rabi Jay
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.
Enterprise AI in the Cloud A Practical Guide to Deploying End to End Machine Learning and ChatGPT Solutions 1st Table of contents:
PART I: Introduction
1 Enterprise Transformation with AI in the Cloud
UNDERSTANDING ENTERPRISE AI TRANSFORMATION
LEVERAGING ENTERPRISE AI OPPORTUNITIES
WORKBOOK TEMPLATE – ENTERPRISE AI TRANSFORMATION CHECKLIST
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
2 Case Studies of Enterprise AI in the Cloud
CASE STUDY 1: THE U.S. GOVERNMENT AND THE POWER OF HUMANS AND MACHINES WORKING TOGETHER TO SOLVE PROBLEMS AT SCALE
CASE STUDY 2: CAPITAL ONE AND HOW IT BECAME A LEADING TECHNOLOGY ORGANIZATION IN A HIGHLY REGULATED ENVIRONMENT
CASE STUDY 3: NETFLIX AND THE PATH COMPANIES TAKE TO BECOME WORLD-CLASS
WORKBOOK TEMPLATE – AI CASE STUDY
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
PART II: Strategizing and Assessing for AI
3 Addressing the Challenges with Enterprise AI
CHALLENGES FACED BY COMPANIES IMPLEMENTING ENTERPRISE-WIDE AI
HOW DIGITAL NATIVES TACKLE AI ADOPTION
GET READY: AI TRANSFORMATION IS MORE CHALLENGING THAN DIGITAL TRANSFORMATION
CHOOSING BETWEEN SMALLER PoC POINT SOLUTIONS AND LARGE-SCALE AI INITIATIVES
WORKBOOK TEMPLATE: AI CHALLENGES ASSESSMENT
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
4 Designing AI Systems Responsibly
THE PILLARS OF RESPONSIBLE AI
WORKBOOK TEMPLATE: RESPONSIBLE AI DESIGN TEMPLATE
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
5 Envisioning and Aligning Your AI Strategy
STEP-BY-STEP METHODOLOGY FOR ENTERPRISE-WIDE AI
WORKBOOK TEMPLATE: VISION ALIGNMENT WORKSHEET
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
6 Developing an AI Strategy and Portfolio
LEVERAGING YOUR ORGANIZATIONAL CAPABILITIES FOR COMPETITIVE ADVANTAGE
INITIATING YOUR STRATEGY AND PLAN TO KICKSTART ENTERPRISE AI
WORKBOOK TEMPLATE: BUSINESS CASE AND AI STRATEGY
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
7 Managing Strategic Change
ACCELERATING YOUR AI ADOPTION WITH STRATEGIC CHANGE MANAGEMENT
WORKBOOK TEMPLATE: STRATEGIC CHANGE MANAGEMENT PLAN
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
PART III: Planning and Launching a Pilot Project
8 Identifying Use Cases for Your AI/ML Project
THE USE CASE IDENTIFICATION PROCESS FLOW
PRIORITIZING YOUR USE CASES
USE CASES TO CHOOSE FROM
WORKBOOK TEMPLATE: USE CASE IDENTIFICATION SHEET
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
9 Evaluating AI/ML Platforms and Services
BENEFITS AND FACTORS TO CONSIDER WHEN CHOOSING AN AI/ML SERVICE
AWS AI AND ML SERVICES
CORE AI SERVICES
SPECIALIZED AI SERVICES
MACHINE LEARNING SERVICES
THE GOOGLE AI/ML SERVICES STACK
THE MICROSOFT AI/ ML SERVICES STACK
OTHER ENTERPRISE CLOUD AI PLATFORMS
WORKBOOK TEMPLATE: AI/ML PLATFORM EVALUATION SHEET
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
10 Launching Your Pilot Project
LAUNCHING YOUR PILOT
FOLLOWING THE MACHINE LEARNING LIFECYCLE
WORKBOOK TEMPLATE: AI/ML PILOT LAUNCH CHECKLIST
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
PART IV: Building and Governing Your Team
11 Empowering Your People Through Org Change Management
SUCCEEDING THROUGH A PEOPLE-CENTRIC APPROACH
ALIGNING YOUR ORGANIZATION AROUND AI ADOPTION TO ACHIEVE BUSINESS OUTCOMES
WORKBOOK TEMPLATE: ORG CHANGE MANAGEMENT PLAN
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
NOTE
12 Building Your Team
UNDERSTANDING THE ROLES AND RESPONSIBILITIES IN AN ML PROJECT
WORKBOOK TEMPLATE: TEAM BUILDING MATRIX
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
PART V: Setting Up Infrastructure and Managing Operations
13 Setting Up an Enterprise AI Cloud Platform Infrastructure
REFERENCE ARCHITECTURE PATTERNS FOR TYPICAL USE CASES
FACTORS TO CONSIDER WHEN BUILDING AN ML PLATFORM
KEY COMPONENTS OF AN ML AND DL PLATFORM
KEY COMPONENTS OF AN ENTERPRISE AI/ML HEALTHCARE PLATFORM
WORKBOOK TEMPLATE: ENTERPRISE AI CLOUD PLATFORM SETUP CHECKLIST
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
14 Operating Your AI Platform with MLOps Best Practices
CENTRAL ROLE OF MLOps IN BRIDGING INFRASTRUCTURE, DATA, AND MODELS
MODEL OPERATIONALIZATION
WORKBOOK TEMPLATE: ML OPERATIONS AUTOMATION GUIDE
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
PART VI: Processing Data and Modeling
15 Process Data and Engineer Features in the Cloud
UNDERSTANDING YOUR DATA NEEDS
BENEFITS AND CHALLENGES OF CLOUD-BASED DATA PROCESSING
THE DATA PROCESSING PHASES OF THE ML LIFECYCLE
UNDERSTANDING THE DATA EXPLORATION AND PREPROCESSING STAGE
FEATURE ENGINEERING
WORKBOOK TEMPLATE: DATA PROCESSING & FEATURE ENGINEERING WORKFLOW
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
16 Choosing Your AI/ML Algorithms
BACK TO THE BASICS: WHAT IS ARTIFICIAL INTELLIGENCE?
FACTORS TO CONSIDER WHEN CHOOSING A MACHINE LEARNING ALGORITHM
DATA-DRIVEN PREDICTIONS USING MACHINE LEARNING
THE AI/ML FRAMEWORK
WORKBOOK TEMPLATE: AI/ML ALGORITHM SELECTION GUIDE
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
17 Training, Tuning, and Evaluating Models
MODEL BUILDING
MODEL TRAINING
MODEL TUNING
MODEL VALIDATION
MODEL EVALUATION
BEST PRACTICES
WORKBOOK TEMPLATE: MODEL TRAINING AND EVALUATION SHEET
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
PART VII: Deploying and Monitoring Models
18 Deploying Your Models Into Production
STANDARDIZING MODEL DEPLOYMENT, MONITORING, AND GOVERNANCE
DEPLOYING YOUR MODELS
SYNCHRONIZING ARCHITECTURE AND CONFIGURATION ACROSS ENVIRONMENTS
MLOps AUTOMATION: IMPLEMENTING CI/CD FOR MODELS
WORKBOOK TEMPLATE: MODEL DEPLOYMENT PLAN
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
19 Monitoring Models
MONITORING MODELS
KEY STRATEGIES FOR MONITORING ML MODELS
TRACKING KEY MODEL PERFORMANCE METRICS
REAL-TIME VS. BATCH MONITORING
TOOLS FOR MONITORING MODELS
BUILDING A MODEL MONITORING SYSTEM
MONITORING MODEL ENDPOINTS
OPTIMIZING MODEL PERFORMANCE
WORKBOOK TEMPLATE: MODEL MONITORING TRACKING SHEET
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
20 Governing Models for Bias and Ethics
IMPORTANCE OF MODEL GOVERNANCE
STRATEGIES FOR FAIRNESS
OPERATIONALIZING GOVERNANCE
WORKBOOK TEMPLATE: MODEL GOVERNANCE FOR BIAS & ETHICS CHECKLIST
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
PART VIII: Scaling and Transforming AI
21 Using the AI Maturity Framework to Transform Your Business
SCALING AI TO BECOME AN AI-FIRST COMPANY
THE AI MATURITY FRAMEWORK
WORKBOOK TEMPLATE: AI MATURITY ASSESSMENT TOOL
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
22 Setting Up Your AI COE
SCALING AI TO BECOME AN AI-FIRST COMPANY
ESTABLISHING AN AI CENTER OF EXCELLENCE
WORKBOOK TEMPLATE: AI CENTER OF EXCELLENCE (AICOE) SETUP CHECKLIST
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
23 Building Your AI Operating Model and Transformation Plan
UNDERSTANDING THE AI OPERATING MODEL
IMPLEMENTING YOUR AI OPERATING MODEL
WORKBOOK TEMPLATE: AI OPERATING MODEL AND TRANSFORMATION PLAN
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
PART IX: Evolving and Maturing AI
24 Implementing Generative AI Use Cases with ChatGPT for the Enterprise
THE RISE AND REACH OF GENERATIVE AI
THE POWER OF GENERATIVE AI/ChatGPT FOR BUSINESS TRANSFORMATION AND INNOVATION
IMPLEMENTING GENERATIVE AI AND ChatGPT
BEST PRACTICES WHEN IMPLEMENTING GENERATIVE AI AND ChatGPT
GENERATIVE AI CLOUD PLATFORMS
WORKBOOK TEMPLATE: GENERATIVE AI USE CASE PLANNER
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
25 Planning for the Future of AI
EMERGING AI TRENDS
THE PRODUCTIVITY REVOLUTION
CRITICAL ENABLERS
EMERGING TRENDS IN DATA MANAGEMENT
WORKBOOK TEMPLATE: FUTURE OF AI ROADMAP
SUMMARY
REVIEW QUESTIONS
ANSWER KEY
26 Continuing Your AI Journey
REFLECTING ON YOUR PROGRESS
PLANNING FOR THE FUTURE: BUILDING A ROADMAP
ENSURING RESPONSIBLE AI/ML IMPLEMENTATION
PREPARING FOR THE CHALLENGES AHEAD
INDEX
COPYRIGHT
DEDICATION
ACKNOWLEDGMENTS
ABOUT THE AUTHOR
ABOUT THE TECHNICAL EDITOR
END USER LICENSE AGREEMENT
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