Artificial Intelligence for Asset Management and Investment. Al Naqvi

Чтение книги онлайн.

Читать онлайн книгу Artificial Intelligence for Asset Management and Investment - Al Naqvi страница

Artificial Intelligence for Asset Management and Investment - Al Naqvi

Скачать книгу

d="uda24cc27-3cdf-5528-86ed-42f86de01e3c">

      

      Table of Contents

      1  Cover

      2  Title Page

      3  Copyright

      4  Dedication

      5  Preface

      6  Acknowledgments

      7  Chapter 1: AI in Investment Management WHAT ABOUT AI SUPPLIERS? LISTENING WITHOUT JUDGING THE FOUR STAGES OF AI IN INVESTMENTS THE CORE MODEL OF AIAI YOUR JOURNEY THROUGH THIS BOOK HOW TO READ AND APPLY THIS BOOK? REFERENCES

      8  Chapter 2: AI and Business Strategy WHY STRATEGY? THE RED BUTTON AI—A REVOLUTION OF ITS OWN INTELLIGENCE AS A COMPETITIVE ADVANTAGE INTELLIGENCE AS A COMPETITIVE ADVANTAGE AND VARIOUS STRATEGY SCHOOLS THE INTELLIGENCE SCHOOL INTELLIGENCE AND ACTIONS ACTIONS AUTOMATION INTELLIGENCE ACTION CHAIN AND SEQUENCE ENTERPRISE SOFTWARE DATA COMPETITIVE ADVANTAGE BUSINESS CAPABILITIES

      9  Chapter 3: Design WHO IS RESPONSIBLE FOR DESIGN? INTRODUCTION TO DESIGN AI AS A COMPETITIVE ADVANTAGE THE TEN ELEMENTS OF DESIGN 1. DESIGN YOUR BUSINESS MODEL 2. SET GOALS FOR THE ENTIRE FIRM 3. SPECIFY OBJECTIVES FOR AUTOMATION AND INTELLIGENCE 4. DESIGN WORK TASK FRAMES BASED ON HUMAN-COMPUTER INTERACTION 5. PERFORM A DTC (DO, THINK, CREATE) ANALYSIS 6. CREATE A SADAL FRAMEWORK 7. DEPLOY A FEEDBACK SYSTEM AND DEFINE PERFORMANCE MEASURES 8. DETERMINE THE BUSINESS CASE OR VALUE 9. ANALYZE RISKS 10. DEVELOP A GOVERNANCE PLAN SOME ADDITIONAL IDEAS ABOUT DESIGNING INTELLECTUALIZATION SUMMARY OF THE DESIGN PROCESS REFERENCES NOTE

      10  Chapter 4: Data WHO IS RESPONSIBLE FOR THE DATA CAPABILITY? DATA AND MACHINE LEARNING RAW DATA STRUCTURED VS. UNSTRUCTURED DATA DATA USED IN INVESTMENTS DATA MANAGEMENT FUNCTION FOR THE AI ERA STEP 1: DATA NEEDS ASSESSMENT (DNA) STEP 2: PERFORM STRATEGIC DATA PLANNING STEP 3: KNOW THE SENSORS AND SOURCES (IDENTIFY GAPS) STEP 4: PROCURE AND UNDERSTAND THE SUPPLY BASE STEP 5: UNDERSTAND THE DATA TYPE (SIGNALS) STEP 6: ORGANIZE DATA FOR USABILITY STEP 7: ARCHITECT DATA STEP 8: ENSURE DATA QUALITY STEP 9: DATA STORAGE AND WAREHOUSING STEP 10: EXCEL IN DATA SECURITY AND PRIVACY STEP 11: IMPLEMENT DATA FOR AI STEP 12: PROVIDE INVESTMENT SPECIALIZATION ABOUT LEGACY DATA MANAGEMENT REFERENCES

      11  Chapter 5: Model Development WHO

Скачать книгу