Artificial Intelligence for Asset Management and Investment - A Strategic Perspective

Make AI technology the backbone of your organization to compete in the Fintech era
 
The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond.
 
No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you'll be able to build an asset management firm from the ground up--or revolutionize your existing firm--using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren't integrating AI in the strategic DNA of your firm, you're at risk of being left behind.
* See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework
* Learn how to build AI into your organization to remain competitive in the world of Fintech
* Go beyond siloed AI implementations to reap even greater benefits
* Understand and overcome the governance and leadership challenges inherent in AI strategy
 
Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.

Sommario

Preface xv
 
Acknowledgments xxi
 
Chapter 1: AI in Investment Management 1
 
What about AI Suppliers? 5
 
Listening without Judging 6
 
The Four Stages of AI in Investments 9
 
The Core Model of AIAI 14
 
Your Journey through This Book 16
 
How to Read and Apply this Book? 16
 
References 17
 
Chapter 2: AI and Business Strategy 19
 
Why Strategy? The Red Button 19
 
AI--a Revolution of its Own 21
 
Intelligence as a Competitive Advantage 22
 
Intelligence as a Competitive Advantage and Various Strategy Schools 23
 
The Intelligence School 25
 
Intelligence and Actions 26
 
Actions 27
 
Automation 28
 
Intelligence Action Chain and Sequence 28
 
Enterprise Software 29
 
Data 29
 
Competitive Advantage 30
 
Business Capabilities 31
 
Chapter 3: Design 35
 
Who Is Responsible for Design? 36
 
Introduction to Design 36
 
AI as a Competitive Advantage 38
 
The Ten Elements of Design 40
 
1. Design Your Business Model 41
 
2. Set Goals for the Entire Firm 44
 
3. Specify Objectives for Automation and Intelligence 45
 
4. Design Work Task Frames Based on Human-Computer Interaction 45
 
5. Perform a DTC (Do, Think, Create) Analysis 46
 
6. Create a SADAL Framework 47
 
7. Deploy a Feedback System and Define Performance Measures 49
 
8. Determine the Business Case or Value 49
 
9. Analyze Risks 50
 
10. Develop a Governance Plan 50
 
Some Additional Ideas about Designing Intellectualization 50
 
Summary of the Design Process 51
 
References 52
 
Chapter 4: Data 53
 
Who Is Responsible for the Data Capability? 53
 
Data and Machine Learning 55
 
Raw Data 55
 
Structured vs. Unstructured Data 56
 
Data Used in Investments 57
 
Data Management Function for the AI Era 58
 
Step 1: Data Needs Assessment (DNA) 59
 
Step 2: Perform Strategic Data Planning 59
 
Step 3: Know the Sensors and Sources (Identify Gaps) 61
 
Step 4: Procure and Understand the Supply Base 61
 
Step 5: Understand the Data Type (Signals) 62
 
Step 6: Organize Data for Usability 62
 
Step 7: Architect Data 63
 
Step 8: Ensure Data Quality 63
 
Step 9: Data Storage and Warehousing 63
 
Step 10: Excel in Data Security and Privacy 63
 
Step 11: Implement Data for AI 64
 
Step 12: Provide Investment Specialization 65
 
About Legacy Data Management 66
 
References 67
 
Chapter 5: Model Development 69
 
Who Is Responsible? 69
 
High-Level Process 70
 
Models 73
 
The Power of Patterns 74
 
Techniques of Learning 75
 
What Is Machine Learning? 76
 
Scientific Process on Steroids 79
 
The Learning Machines 79
 
Algorithms 80
 
Supervised Learning 82
 
Supervised: Classification 85
 
Classification: Random Forest 86
 
Classification: Using Mathematical Functions 87
 
Classification: Simple Linear Classifier 88
 
Supervised: Support Vector Machine 91
 
Classification: Naive Bayes 94
 
Classification: Bayesian Belief Networks 95
 
Classification: k-Nearest Neighbor 95
 
Supervised: Regression 96
 
Supervised: Multidimensional Regression 99
 
Unsupervised Learning 100
 
Neural Networks 103
 
Reinforcement Learning 106
 
References 107
&nbs

Info autore

AL NAQVI is the CEO of the American Institute of Artificial Intelligence, where he designs and develops machine learning based finance products, teaches classes on applied AI, deep learning, and cognitive transformation, and leads the company strategy. He studies the application of deep learning to financial engineering, investment, and asset management. He is also the author of Artificial Intelligence for Audit, Forensic Accounting, and Valuation (Wiley).

Riassunto

Make AI technology the backbone of your organization to compete in the Fintech era

The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond.

No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you'll be able to build an asset management firm from the ground up--or revolutionize your existing firm--using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren't integrating AI in the strategic DNA of your firm, you're at risk of being left behind.
* See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework
* Learn how to build AI into your organization to remain competitive in the world of Fintech
* Go beyond siloed AI implementations to reap even greater benefits
* Understand and overcome the governance and leadership challenges inherent in AI strategy

Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.

Dettagli sul prodotto

• Autori: Al Naqvi, Al (American Institute of Artificial Intell Naqvi
• Editore: Wiley, John and Sons Ltd
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 31.08.2020
• EAN: 9781119601821
• ISBN: 978-1-119-60182-1
• Pagine: 320
• Serie: Wiley Finance; Wiley Finance Editions
• Categorie: Scienze sociali, diritto, economia > Economia > Economia aziendale; Künstliche Intelligenz, KI, Finanzwesen, AI, Finance & Investments, Finanz- u. Anlagewesen, Spezialthemen Finanz- u. Anlagewesen, Finance & Investments Special Topics