{"product_id":"artificial-intelligence-for-asset-management-and-investment-9781119601821","title":"Artificial Intelligence for Asset Management and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eMake 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 upor revolutionize your existing firmusing artificial intelligence as the cornerstone and fo\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003eAcknowledgments xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: AI in Investment Management 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat about AI Suppliers? 5\u003c\/p\u003e \u003cp\u003eListening without Judging 6\u003c\/p\u003e \u003cp\u003eThe Four Stages of AI in Investments 9\u003c\/p\u003e \u003cp\u003eThe Core Model of AIAI 14\u003c\/p\u003e \u003cp\u003eYour Journey through This Book 16\u003c\/p\u003e \u003cp\u003eHow to Read and Apply this Book? 16\u003c\/p\u003e \u003cp\u003eReferences 17\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: AI and Business Strategy 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy Strategy? The Red Button 19\u003c\/p\u003e \u003cp\u003eAI—a Revolution of its Own 21\u003c\/p\u003e \u003cp\u003eIntelligence as a Competitive Advantage 22\u003c\/p\u003e \u003cp\u003eIntelligence as a Competitive Advantage and Various Strategy Schools 23\u003c\/p\u003e \u003cp\u003eThe Intelligence School 25\u003c\/p\u003e \u003cp\u003eIntelligence and Actions 26\u003c\/p\u003e \u003cp\u003eActions 27\u003c\/p\u003e \u003cp\u003eAutomation 28\u003c\/p\u003e \u003cp\u003eIntelligence Action Chain and Sequence 28\u003c\/p\u003e \u003cp\u003eEnterprise Software 29\u003c\/p\u003e \u003cp\u003eData 29\u003c\/p\u003e \u003cp\u003eCompetitive Advantage 30\u003c\/p\u003e \u003cp\u003eBusiness Capabilities 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Design 35\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is Responsible for Design? 36\u003c\/p\u003e \u003cp\u003eIntroduction to Design 36\u003c\/p\u003e \u003cp\u003eAI as a Competitive Advantage 38\u003c\/p\u003e \u003cp\u003eThe Ten Elements of Design 40\u003c\/p\u003e \u003cp\u003e1. Design Your Business Model 41\u003c\/p\u003e \u003cp\u003e2. Set Goals for the Entire Firm 44\u003c\/p\u003e \u003cp\u003e3. Specify Objectives for Automation and Intelligence 45\u003c\/p\u003e \u003cp\u003e4. Design Work Task Frames Based on Human-Computer Interaction 45\u003c\/p\u003e \u003cp\u003e5. Perform a DTC (Do, Think, Create) Analysis 46\u003c\/p\u003e \u003cp\u003e6. Create a SADAL Framework 47\u003c\/p\u003e \u003cp\u003e7. Deploy a Feedback System and Define Performance Measures 49\u003c\/p\u003e \u003cp\u003e8. Determine the Business Case or Value 49\u003c\/p\u003e \u003cp\u003e9. Analyze Risks 50\u003c\/p\u003e \u003cp\u003e10. Develop a Governance Plan 50\u003c\/p\u003e \u003cp\u003eSome Additional Ideas about Designing Intellectualization 50\u003c\/p\u003e \u003cp\u003eSummary of the Design Process 51\u003c\/p\u003e \u003cp\u003eReferences 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Data 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is Responsible for the Data Capability? 53\u003c\/p\u003e \u003cp\u003eData and Machine Learning 55\u003c\/p\u003e \u003cp\u003eRaw Data 55\u003c\/p\u003e \u003cp\u003eStructured vs. Unstructured Data 56\u003c\/p\u003e \u003cp\u003eData Used in Investments 57\u003c\/p\u003e \u003cp\u003eData Management Function for the AI Era 58\u003c\/p\u003e \u003cp\u003eStep 1: Data Needs Assessment (DNA) 59\u003c\/p\u003e \u003cp\u003eStep 2: Perform Strategic Data Planning 59\u003c\/p\u003e \u003cp\u003eStep 3: Know the Sensors and Sources (Identify Gaps) 61\u003c\/p\u003e \u003cp\u003eStep 4: Procure and Understand the Supply Base 61\u003c\/p\u003e \u003cp\u003eStep 5: Understand the Data Type (Signals) 62\u003c\/p\u003e \u003cp\u003eStep 6: Organize Data for Usability 62\u003c\/p\u003e \u003cp\u003eStep 7: Architect Data 63\u003c\/p\u003e \u003cp\u003eStep 8: Ensure Data Quality 63\u003c\/p\u003e \u003cp\u003eStep 9: Data Storage and Warehousing 63\u003c\/p\u003e \u003cp\u003eStep 10: Excel in Data Security and Privacy 63\u003c\/p\u003e \u003cp\u003eStep 11: Implement Data for AI 64\u003c\/p\u003e \u003cp\u003eStep 12: Provide Investment Specialization 65\u003c\/p\u003e \u003cp\u003eAbout Legacy Data Management 66\u003c\/p\u003e \u003cp\u003eReferences 67\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5: Model Development 69\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is Responsible? 69\u003c\/p\u003e \u003cp\u003eHigh-Level Process 70\u003c\/p\u003e \u003cp\u003eModels 73\u003c\/p\u003e \u003cp\u003eThe Power of Patterns 74\u003c\/p\u003e \u003cp\u003eTechniques of Learning 75\u003c\/p\u003e \u003cp\u003eWhat Is Machine Learning? 76\u003c\/p\u003e \u003cp\u003eScientific Process on Steroids 79\u003c\/p\u003e \u003cp\u003eThe Learning Machines 79\u003c\/p\u003e \u003cp\u003eAlgorithms 80\u003c\/p\u003e \u003cp\u003eSupervised Learning 82\u003c\/p\u003e \u003cp\u003eSupervised: Classification 85\u003c\/p\u003e \u003cp\u003eClassification: Random Forest 86\u003c\/p\u003e \u003cp\u003eClassification: Using Mathematical Functions 87\u003c\/p\u003e \u003cp\u003eClassification: Simple Linear Classifier 88\u003c\/p\u003e \u003cp\u003eSupervised: Support Vector Machine 91\u003c\/p\u003e \u003cp\u003eClassification: Naive Bayes 94\u003c\/p\u003e \u003cp\u003eClassification: Bayesian Belief Networks 95\u003c\/p\u003e \u003cp\u003eClassification: k-Nearest Neighbor 95\u003c\/p\u003e \u003cp\u003eSupervised: Regression 96\u003c\/p\u003e \u003cp\u003eSupervised: Multidimensional Regression 99\u003c\/p\u003e \u003cp\u003eUnsupervised Learning 100\u003c\/p\u003e \u003cp\u003eNeural Networks 103\u003c\/p\u003e \u003cp\u003eReinforcement Learning 106\u003c\/p\u003e \u003cp\u003eReferences 107\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: Evaluation 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Performs the Evaluation? 109\u003c\/p\u003e \u003cp\u003eProblems 111\u003c\/p\u003e \u003cp\u003eMaking the Model Work 111\u003c\/p\u003e \u003cp\u003eOverfitting and Underfitting 113\u003c\/p\u003e \u003cp\u003eScale and Machine Learning 113\u003c\/p\u003e \u003cp\u003eNew Methods 114\u003c\/p\u003e \u003cp\u003eBias and Variance 115\u003c\/p\u003e \u003cp\u003eBacktesting 116\u003c\/p\u003e \u003cp\u003eBacktesting Protocol 119\u003c\/p\u003e \u003cp\u003eReferences 121\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Deployment 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReference Architecture 127\u003c\/p\u003e \u003cp\u003eThe Reference Architecture and Hardware 130\u003c\/p\u003e \u003cp\u003eReferences 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: Performance 133\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is Responsible for Performance? 134\u003c\/p\u003e \u003cp\u003eWhat Are the Work Processes of Performance? 134\u003c\/p\u003e \u003cp\u003eBusiness Performance 136\u003c\/p\u003e \u003cp\u003eTechnological Performance 138\u003c\/p\u003e \u003cp\u003eReferences 141\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: A New Beginning 143\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBuilding an Investment Management Firm Around Artificial Intelligence? 144\u003c\/p\u003e \u003cp\u003eThe Fallacy of Going Digital 145\u003c\/p\u003e \u003cp\u003eWhy Build Your Firm Around AI? 148\u003c\/p\u003e \u003cp\u003eYou Must Rely on Your Own Capabilities 149\u003c\/p\u003e \u003cp\u003eWhat Is Asset Science? 150\u003c\/p\u003e \u003cp\u003eA Healthy Cycle 154\u003c\/p\u003e \u003cp\u003eThe Tool Set 155\u003c\/p\u003e \u003cp\u003eThis Is Not Just Automation 156\u003c\/p\u003e \u003cp\u003eReferences 157\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10: Customer Experience Science 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCustomer Experience 159\u003c\/p\u003e \u003cp\u003eValue, Strength, and Duration of Relationship 160\u003c\/p\u003e \u003cp\u003eUnderstanding Customers: Empathy for CX 161\u003c\/p\u003e \u003cp\u003eSteps to Become an Empathetic Asset Management Firm 162\u003c\/p\u003e \u003cp\u003eKnow Your Empmeter 162\u003c\/p\u003e \u003cp\u003eExpand Empathy Awareness and Understanding 163\u003c\/p\u003e \u003cp\u003eIncorporate into Products and Services 163\u003c\/p\u003e \u003cp\u003eWhat Is Automated Empathy and Compassion (AEC)? 163\u003c\/p\u003e \u003cp\u003eIncorporating AEC Marketing 165\u003c\/p\u003e \u003cp\u003eReferences 168\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11: Marketing Science 171\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Undertakes This Responsibility? 171\u003c\/p\u003e \u003cp\u003eHow to Apply AI for Marketing 172\u003c\/p\u003e \u003cp\u003eBegin with Assessment 172\u003c\/p\u003e \u003cp\u003eKnow Your Data 174\u003c\/p\u003e \u003cp\u003eThe AI Plan for Asset Management Marketing 176\u003c\/p\u003e \u003cp\u003ePerform Strategic Planning 176\u003c\/p\u003e \u003cp\u003eManage Product Portfolio with AI 179\u003c\/p\u003e \u003cp\u003eTransform Your Communications 180\u003c\/p\u003e \u003cp\u003eBuild Relationships 181\u003c\/p\u003e \u003cp\u003eExecute with Excellence 181\u003c\/p\u003e \u003cp\u003eReferences 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12: Land that Institutional Investor with AI 183\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is Responsible for IRMS Automation? 183\u003c\/p\u003e \u003cp\u003eIs IRMS Your CRM System? 184\u003c\/p\u003e \u003cp\u003eKnow Thyself: Automated Self-Discovery 184\u003c\/p\u003e \u003cp\u003eAutomated Asset Class Analysis 185\u003c\/p\u003e \u003cp\u003eAutomated Institutional Analysis 185\u003c\/p\u003e \u003cp\u003eAutomated Structure and Terms Analysis 186\u003c\/p\u003e \u003cp\u003eAutomated Fee Analysis 186\u003c\/p\u003e \u003cp\u003eAutomated Communications 186\u003c\/p\u003e \u003cp\u003eUnleash the Power of Knowing 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13: Sales Science 189\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat Is Sales Science? 189\u003c\/p\u003e \u003cp\u003eWho Is Responsible for Implementing Sales Science? 190\u003c\/p\u003e \u003cp\u003eAre You Driving This in Sales? 190\u003c\/p\u003e \u003cp\u003eHow to Build Your AI-Based Sales System 193\u003c\/p\u003e \u003cp\u003eReferences 195\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14: Investment: Managing the Returns Loop 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is Responsible for Investment Management? 197\u003c\/p\u003e \u003cp\u003eHow to Approach Building the New-Era Investment Function? 198\u003c\/p\u003e \u003cp\u003eThe Core Tool Set 204\u003c\/p\u003e \u003cp\u003eWhat Will Be the Function of Your Investment Lab? 206\u003c\/p\u003e \u003cp\u003eMake the Decisions 206\u003c\/p\u003e \u003cp\u003eA New World 207\u003c\/p\u003e \u003cp\u003eThe (Unnecessary) Debate 208\u003c\/p\u003e \u003cp\u003eMore Behaviors 208\u003c\/p\u003e \u003cp\u003eResearch and Investment Strategy 209\u003c\/p\u003e \u003cp\u003ePortfolio 210\u003c\/p\u003e \u003cp\u003ePerformance 210\u003c\/p\u003e \u003cp\u003eReferences 210\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 15: Regulatory Compliance and Operations 213\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is Responsible? 213\u003c\/p\u003e \u003cp\u003eRegulatory Compliance 213\u003c\/p\u003e \u003cp\u003eWhy Intelligent Automation? 214\u003c\/p\u003e \u003cp\u003eHave You Scoped Out What to Do? 215\u003c\/p\u003e \u003cp\u003eHow to Do It? 215\u003c\/p\u003e \u003cp\u003eHow to Use Technology for GIPS Implementation? 217\u003c\/p\u003e \u003cp\u003eBack and Middle Office 219\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 16: Supply Chain Science 221\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWho Is Responsible for Supply Chain Science? 221\u003c\/p\u003e \u003cp\u003eHow to Think about Supply Chains 222\u003c\/p\u003e \u003cp\u003eReferences 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 17: Corporate Social Responsibility 227\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCSR Woes: Can Processes Explain Them? 227\u003c\/p\u003e \u003cp\u003eWhat Are the Criticisms of CSR? 228\u003c\/p\u003e \u003cp\u003eMeasurement Issues 228\u003c\/p\u003e \u003cp\u003eBehavioral and Role Issues 230\u003c\/p\u003e \u003cp\u003eStrategic and Organizational Issues 230\u003c\/p\u003e \u003cp\u003eHow to Apply AI in CSR? 231\u003c\/p\u003e \u003cp\u003eCSR Must Not Be Forgotten 232\u003c\/p\u003e \u003cp\u003eESG Investment 232\u003c\/p\u003e \u003cp\u003eHow Can AI Help? 234\u003c\/p\u003e \u003cp\u003eYou Must Avoid These Mistakes 236\u003c\/p\u003e \u003cp\u003eSummary Steps 236\u003c\/p\u003e \u003cp\u003eReferences 237\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 18: AI Organization and Project Management 241\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe New Asset Management Organization 241\u003c\/p\u003e \u003cp\u003eWhy a CAIO\/COO Role? 243\u003c\/p\u003e \u003cp\u003eWhat Is Changing? 244\u003c\/p\u003e \u003cp\u003eHow to Get There? 244\u003c\/p\u003e \u003cp\u003eIssues of the New Organization 246\u003c\/p\u003e \u003cp\u003eChange Management 248\u003c\/p\u003e \u003cp\u003eManaging AI Projects 249\u003c\/p\u003e \u003cp\u003eReferences 250\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 19: Governance and Ethics 251\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCorporate Governance with AI 251\u003c\/p\u003e \u003cp\u003eGovernance of AI 257\u003c\/p\u003e \u003cp\u003eFraming the Ethical Problems from a Pragmatic Viewpoint 261\u003c\/p\u003e \u003cp\u003eSome Obvious Ethical Issues 262\u003c\/p\u003e \u003cp\u003eHumans and AI 262\u003c\/p\u003e \u003cp\u003eEthics Charter 263\u003c\/p\u003e \u003cp\u003eReferences 264\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 20: Adaptation and Emergence 267\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Revolution Is Real 268\u003c\/p\u003e \u003cp\u003eComplex Adaptive Systems 270\u003c\/p\u003e \u003cp\u003eOur Coronavirus Meltdown Prediction 271\u003c\/p\u003e \u003cp\u003eIndex 273\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":48866404925783,"sku":"9781119601821","price":30.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119601821.jpg?v=1722278487","url":"https:\/\/bookcurl.com\/products\/artificial-intelligence-for-asset-management-and-investment-9781119601821","provider":"Book Curl","version":"1.0","type":"link"}