Artificial intelligence for asset management and investment: a strategic perspective
"The rise of artificial intelligence is being termed as the fourth industrial revolution. AI is no longer just a technology, it is the technology around which business models are being shaped. Banks, asset management, investment management, and financial services firms are eager to use AI and a...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, New Jersey
Wiley
[2021]
|
| Series: | Wiley finance series
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | "The rise of artificial intelligence is being termed as the fourth industrial revolution. AI is no longer just a technology, it is the technology around which business models are being shaped. Banks, asset management, investment management, and financial services firms are eager to use AI and are seeking an integrated framework to actively apply artificial intelligence in areas such as compliance, investment management, and customer service. Despite several applications of AI in financial services, the use of AI remains tactical and narrow, siloed and fragmented, and mostly focused on solving specific business problems. An integrated strategic perspective of artificial intelligence is missing. This book fills the gap by providing a comprehensive and strategic viewpoint of artificial intelligence technology in asset management. It shows how to build an asset management firm around artificial intelligence. |
| Item Description: | Literaturangaben |
| Physical Description: | xxi, 296 Seiten Illustrationen |
| ISBN: | 9781119601821 |
Staff View
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Record in the Search Index
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| adam_text | Contents Preface xv Acknowledgments xxi 1 Chapter 1 : Al în Investment Management What about Al Suppliers? Listening without Judging The Four Stages of Al in Investments The Core Model of AIAI Your Journey through This Book Howto Read and Apply this Book? References 5 6 9 14 16 16 17 Chapter 2: Al and Business Strategy Why Strategy? The Red Button Al—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 19 19 21 22 23 25 26 27 28 28 29 29 30 31 vii
viii Contents Chapter 3: Design Who Is Responsible for Design? Introduction to Design Al 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 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 Al 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 Al 35 36 36 38 40 41 44 45 45 46 47 49 49 50 50 50 51 52 53 53 55 55 56 57 58 59 59 61 61 62 62 ¿3 ¿3 63 63 ¿4
Contents Step 12: Provide investment Specialization About Legacy Data Management References Chapter 5: Model Development Who Is Responsible? High-Level Process Models The Power of Patterns Techniques of Learning What Is Machine Learning? Scientific Process on Steroids The Learning Machines Algorithms Supervised Learning Supervised: Classification Classification: Random Forest Classification: Using Mathematical Functions Classification: Simple Linear Classifier Supervised: Support Vector Machine Classification: Naive Bayes Classification: Bayesian Belief Networks Classification: k-Nearest Neighbor Supervised: Regression Supervised: Multidimensional Regression Unsupervised Learning Neural Networks Reinforcement Learning References Chapter 6: Evaluation Who Performs the Evaluation? Problems Making the Model Work Overfitting and Underfitting Scale and Machine Learning New Methods Bias and Variance Backtesting Backtesting Protocol References ix 65 66 67 69 69 70 73 74 75 76 79 79 80 82 85 86 87 88 91 94 95 95 96 99 100 103 106 107 109 109 111 111 113 113 114 115 116 119 121
x Contents Chapter 7: Deployment Reference Architecture The Reference Architecture and Hardware References Chapter 8: Performance Who Is Responsible for Performance? What Are the Work Processes of Performance? Business Performance Technological Performance References Chapter 9: A New Beginning Building an Investment Management Firm Around Artificial Intelligence? The Fallacy of Going Digital Why Build Your Firm Around Al? You Must Rely on Your Own Capabilities What Is Asset Science? A Healthy Cycle The Tool Set This Is Not Just Automation References Chapter 10: Customer Experience Science Customer Experience Value, Strength, and Duration of Relationship Understanding Customers: Empathy for CX Steps to Become an Empathetic Asset Management Firm Know Your Empmeter Expand Empathy Awareness and Understanding Incorporate into Products and Services What Is Automated Empathy and Compassion (AEC)? Incorporating AEC Marketing References Chapter 11 : Marketing Science Who Undertakes This Responsibility? How to Apply Al for Marketing 123 127 130 131 133 134 134 136 138 141 143 144 145 148 149 150 154 155 156 157 159 159 160 161 162 1 62 163 163 163 165 168 -j 74 171 172
Contents Begin with Assessment Know Your Data The Al Plan for Asset Management Marketing Perform Strategic Planning Manage Product Portfolio with Al Transform Your Communications Build Relationships Execute with Excellence References Chapter 12: Land that Institutional Investor with Al Who Is Responsible for IRMS Automation? Is IRMS Your CRM System? Know Thyself: Automated Self-Discovery Automated Asset Class Analysis Automated Institutional Analysis ՛ Automated Structure and Terms Analysis Automated Fee Analysis Automated Communications Unleash the Power of Knowing Chapter 13: Sales Science @ xi 172 -| 74 176 176 179 180 181 181 182 183 183 184 184 185 185 186 186 186 188 189 What Is Sales Science? Who Is Responsible for Implementing Sales Science? Are You Driving This in Sales? How to Build Your Al-Based Sales System References 189 190 190 193 195 Chapter 14: Investment: Managing the Returns Loop 197 Who Is Responsible for Investment Management? How to Approach Building the New-Era Investment Function? The Core Tool Set What Will Be the Function of Your Investment Lab? Make the Decisions A New World The (Unnecessary) Debate More Behaviors Research and Investment Strategy Portfolio Performance References 197 198 204 206 206 207 208 208 209 210 210 210
xii Contents Chapter 15: Regulatory Compliance and Operations Who Is Responsible? Regulatory Compliance Why Intelligent Automation? Have You Scoped Out What to Do? How to Do It? How to Use Technology for GIPS Implementation? Back and Middle Office Chapter 16: Supply Chain Science 213 213 213 214 215 215 217 219 221 Who Is Responsible for Supply Chain Science? How to Think about Supply Chains References 221 222 225 Chapter 17: Corporate Social Responsibility 227 CSR Woes: Can Processes Explain Them? What Are the Criticisms of CSR? Measurement Issues Behavioral and Role Issues Strategic and Organizational Issues How to Apply Al in CSR? CSR Must Not Be Forgotten ESG Investment How Can Al Help? You Must Avoid These Mistakes Summary Steps References Chapter 18: Al Organization and Project Management The New Asset Management Organization Why a CAIO/COO Role? What Is Changing? How to Get There? Issues of the New Organization Change Management Managing Al Projects References 227 228 228 230 230 231 232 232 234 236 236 237 241 241 շ43 244 244 246 24g 249 пел
Contents Chapter 19: Governance and Ethics Corporate Governance with Al Governance of Al Framing the Ethical Problems from a PragmaticViewpoint Some Obvious Ethical Issues Humans and Al Ethics Charter References xiii 251 251 257 261 262 262 263 264 Chapter 20: Adaptation and Emergence 267 The Revolution Is Real Complex Adaptive Systems Our Coronavirus Meltdown Prediction 26б 270 271 Index 273
|
| adam_txt |
Contents Preface xv Acknowledgments xxi 1 Chapter 1 : Al în Investment Management What about Al Suppliers? Listening without Judging The Four Stages of Al in Investments The Core Model of AIAI Your Journey through This Book Howto Read and Apply this Book? References 5 6 9 14 16 16 17 Chapter 2: Al and Business Strategy Why Strategy? The Red Button Al—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 19 19 21 22 23 25 26 27 28 28 29 29 30 31 vii
viii Contents Chapter 3: Design Who Is Responsible for Design? Introduction to Design Al 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 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 Al 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 Al 35 36 36 38 40 41 44 45 45 46 47 49 49 50 50 50 51 52 53 53 55 55 56 57 58 59 59 61 61 62 62 ¿3 ¿3 63 63 ¿4
Contents Step 12: Provide investment Specialization About Legacy Data Management References Chapter 5: Model Development Who Is Responsible? High-Level Process Models The Power of Patterns Techniques of Learning What Is Machine Learning? Scientific Process on Steroids The Learning Machines Algorithms Supervised Learning Supervised: Classification Classification: Random Forest Classification: Using Mathematical Functions Classification: Simple Linear Classifier Supervised: Support Vector Machine Classification: Naive Bayes Classification: Bayesian Belief Networks Classification: k-Nearest Neighbor Supervised: Regression Supervised: Multidimensional Regression Unsupervised Learning Neural Networks Reinforcement Learning References Chapter 6: Evaluation Who Performs the Evaluation? Problems Making the Model Work Overfitting and Underfitting Scale and Machine Learning New Methods Bias and Variance Backtesting Backtesting Protocol References ix 65 66 67 69 69 70 73 74 75 76 79 79 80 82 85 86 87 88 91 94 95 95 96 99 100 103 106 107 109 109 111 111 113 113 114 115 116 119 121
x Contents Chapter 7: Deployment Reference Architecture The Reference Architecture and Hardware References Chapter 8: Performance Who Is Responsible for Performance? What Are the Work Processes of Performance? Business Performance Technological Performance References Chapter 9: A New Beginning Building an Investment Management Firm Around Artificial Intelligence? The Fallacy of Going Digital Why Build Your Firm Around Al? You Must Rely on Your Own Capabilities What Is Asset Science? A Healthy Cycle The Tool Set This Is Not Just Automation References Chapter 10: Customer Experience Science Customer Experience Value, Strength, and Duration of Relationship Understanding Customers: Empathy for CX Steps to Become an Empathetic Asset Management Firm Know Your Empmeter Expand Empathy Awareness and Understanding Incorporate into Products and Services What Is Automated Empathy and Compassion (AEC)? Incorporating AEC Marketing References Chapter 11 : Marketing Science Who Undertakes This Responsibility? How to Apply Al for Marketing 123 127 130 131 133 134 134 136 138 141 143 144 145 148 149 150 154 155 156 157 159 159 160 161 162 1 62 163 163 163 165 168 -j 74 171 172
Contents Begin with Assessment Know Your Data The Al Plan for Asset Management Marketing Perform Strategic Planning Manage Product Portfolio with Al Transform Your Communications Build Relationships Execute with Excellence References Chapter 12: Land that Institutional Investor with Al Who Is Responsible for IRMS Automation? Is IRMS Your CRM System? Know Thyself: Automated Self-Discovery Automated Asset Class Analysis Automated Institutional Analysis ՛ Automated Structure and Terms Analysis Automated Fee Analysis Automated Communications Unleash the Power of Knowing Chapter 13: Sales Science @ xi 172 -| 74 176 176 179 180 181 181 182 183 183 184 184 185 185 186 186 186 188 189 What Is Sales Science? Who Is Responsible for Implementing Sales Science? Are You Driving This in Sales? How to Build Your Al-Based Sales System References 189 190 190 193 195 Chapter 14: Investment: Managing the Returns Loop 197 Who Is Responsible for Investment Management? How to Approach Building the New-Era Investment Function? The Core Tool Set What Will Be the Function of Your Investment Lab? Make the Decisions A New World The (Unnecessary) Debate More Behaviors Research and Investment Strategy Portfolio Performance References 197 198 204 206 206 207 208 208 209 210 210 210
xii Contents Chapter 15: Regulatory Compliance and Operations Who Is Responsible? Regulatory Compliance Why Intelligent Automation? Have You Scoped Out What to Do? How to Do It? How to Use Technology for GIPS Implementation? Back and Middle Office Chapter 16: Supply Chain Science 213 213 213 214 215 215 217 219 221 Who Is Responsible for Supply Chain Science? How to Think about Supply Chains References 221 222 225 Chapter 17: Corporate Social Responsibility 227 CSR Woes: Can Processes Explain Them? What Are the Criticisms of CSR? Measurement Issues Behavioral and Role Issues Strategic and Organizational Issues How to Apply Al in CSR? CSR Must Not Be Forgotten ESG Investment How Can Al Help? You Must Avoid These Mistakes Summary Steps References Chapter 18: Al Organization and Project Management The New Asset Management Organization Why a CAIO/COO Role? What Is Changing? How to Get There? Issues of the New Organization Change Management Managing Al Projects References 227 228 228 230 230 231 232 232 234 236 236 237 241 241 շ43 244 244 246 24g 249 пел
Contents Chapter 19: Governance and Ethics Corporate Governance with Al Governance of Al Framing the Ethical Problems from a PragmaticViewpoint Some Obvious Ethical Issues Humans and Al Ethics Charter References xiii 251 251 257 261 262 262 263 264 Chapter 20: Adaptation and Emergence 267 The Revolution Is Real Complex Adaptive Systems Our Coronavirus Meltdown Prediction 26б 270 271 Index 273 |
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| id | DE-604.BV047811931 |
| illustrated | Illustrated |
| index_date | 2024-07-03T19:05:25Z |
| indexdate | 2024-07-10T09:22:01Z |
| institution | BVB |
| isbn | 9781119601821 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033195424 |
| oclc_num | 1195918118 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG |
| owner_facet | DE-473 DE-BY-UBG |
| physical | xxi, 296 Seiten Illustrationen |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley finance series |
| spelling | Naqvi, Al 1968- Verfasser (DE-588)1220392855 aut Artificial intelligence for asset management and investment a strategic perspective Al Naqvi Hoboken, New Jersey Wiley [2021] ©2021 xxi, 296 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Wiley finance series Literaturangaben "The rise of artificial intelligence is being termed as the fourth industrial revolution. AI is no longer just a technology, it is the technology around which business models are being shaped. Banks, asset management, investment management, and financial services firms are eager to use AI and are seeking an integrated framework to actively apply artificial intelligence in areas such as compliance, investment management, and customer service. Despite several applications of AI in financial services, the use of AI remains tactical and narrow, siloed and fragmented, and mostly focused on solving specific business problems. An integrated strategic perspective of artificial intelligence is missing. This book fills the gap by providing a comprehensive and strategic viewpoint of artificial intelligence technology in asset management. It shows how to build an asset management firm around artificial intelligence. Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Kapitalanlage (DE-588)4073213-7 gnd rswk-swf Finanzwirtschaft (DE-588)4017214-4 gnd rswk-swf Vermögensverwaltung (DE-588)4063089-4 gnd rswk-swf Investition (DE-588)4027556-5 gnd rswk-swf Künstliche Intelligenz / (DE-627)091373379 / (DE-2867)15611-3 Kapitalanlage / (DE-627)09136986X / (DE-2867)12280-1 Finanzprodukt / (DE-627)091359910 / (DE-2867)11441-1 Betriebliche Finanzwirtschaft / (DE-627)091350905 / (DE-2867)12215-5 Finanzdienstleistung / (DE-627)091359848 / (DE-2867)18085-4 Asset allocation Artificial intelligence Financial services industry / Technological innovations Künstliche Intelligenz (DE-588)4033447-8 s Vermögensverwaltung (DE-588)4063089-4 s Investition (DE-588)4027556-5 s DE-604 Kapitalanlage (DE-588)4073213-7 s Finanzwirtschaft (DE-588)4017214-4 s Erscheint auch als Onlineausgabe, pdf 978-1-119-60187-6 Erscheint auch als Onlineausgabe, epub 978-1-119-60184-5 Erscheint auch als Onlineausgabe 978-1-119-60183-8 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033195424&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Naqvi, Al 1968- Artificial intelligence for asset management and investment a strategic perspective Künstliche Intelligenz (DE-588)4033447-8 gnd Kapitalanlage (DE-588)4073213-7 gnd Finanzwirtschaft (DE-588)4017214-4 gnd Vermögensverwaltung (DE-588)4063089-4 gnd Investition (DE-588)4027556-5 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4073213-7 (DE-588)4017214-4 (DE-588)4063089-4 (DE-588)4027556-5 |
| title | Artificial intelligence for asset management and investment a strategic perspective |
| title_auth | Artificial intelligence for asset management and investment a strategic perspective |
| title_exact_search | Artificial intelligence for asset management and investment a strategic perspective |
| title_exact_search_txtP | Artificial intelligence for asset management and investment a strategic perspective |
| title_full | Artificial intelligence for asset management and investment a strategic perspective Al Naqvi |
| title_fullStr | Artificial intelligence for asset management and investment a strategic perspective Al Naqvi |
| title_full_unstemmed | Artificial intelligence for asset management and investment a strategic perspective Al Naqvi |
| title_short | Artificial intelligence for asset management and investment |
| title_sort | artificial intelligence for asset management and investment a strategic perspective |
| title_sub | a strategic perspective |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Kapitalanlage (DE-588)4073213-7 gnd Finanzwirtschaft (DE-588)4017214-4 gnd Vermögensverwaltung (DE-588)4063089-4 gnd Investition (DE-588)4027556-5 gnd |
| topic_facet | Künstliche Intelligenz Kapitalanlage Finanzwirtschaft Vermögensverwaltung Investition |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033195424&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT naqvial artificialintelligenceforassetmanagementandinvestmentastrategicperspective |