The Future Of Finance Is Here AI Driven Insights And Personalization AI CD V

Slide 1: This slide introduces The Future of Finance is Here: AI-Driven Insights and Personalization. Commence by stating Your Company Name.
Slide 2: This slide depicts the Agenda of the presentation.
Slide 3: This slide includes the Table of Contents.
Slide 4: This is yet another slide continuing the Table of Contents.
Slide 5: This slide highlights the Title for the Topics to be covered further.
Slide 6: This slide showcases overview of artificial intelligence applications in different areas of finance.
Slide 7: This slide mentions about the AI finance use cases by functional areas.
Slide 8: This slide presents the Use cases of AI in different finance industries.
Slide 9: This slide exhibits the Challenges faced by finance companies in AI adoption.
Slide 10: This slide talks about the AI trends transforming finance sector.
Slide 11: This slide indicates the Heading for the Contents to be further discussed.
Slide 12: This slide showcases deep learning technology which can help to analyze large data and help make financial decisions for organization.
Slide 13: This slide reveals Machine learning technology to analyze the past financial data and make future predictions.
Slide 14: This slide showcases computer vision technology to extract information from images and videos during financial processes.
Slide 15: This slide portrays natural language processing technology to analyze human written language and perform financial tasks.
Slide 16: This slide indicates the Title for the Ideas to be covered in the following template.
Slide 17: This slide shows AI-based Robo advisory to provide investment advice to customers and manage the portfolio.
Slide 18: This slide presents the Asset under management of Robo-advisors.
Slide 19: This slide highlights the Evolution of Robo-advisory for wealth management.
Slide 20: This slide showcases different models of Robo-Advisory for investment advisory and generate returns from different markets.
Slide 21: This slide displays the Suitable Robo-advisory model for different investors.
Slide 22: This slide incorporates the Heading for the Ideas to be discussed further.
Slide 23: This slide presents the Importance of AI in real time stock trading.
Slide 24: This slide states the Key point of difference between AI and human stock trading.
Slide 25: This slide deals with Analyzing different types of AI-based trading.
Slide 26: This slide showcases framework that can help organization to analyze the functioning AI-based software for algorithmic trading.
Slide 27: This slide exhibits various AI techniques that can help to execute trades in various kind of markets.
Slide 28: This slide depicts the Challenges faced in AI-based trading.
Slide 29: This slide presents the Key trends in AI-based trading.
Slide 30: This slide displays the Title for the Contents to be covered next.
Slide 31: This slide showcases benefits of leveraging AI solutions for making stock market projections.
Slide 32: This slide focuses on Comparing traditional and deep learning for stock projection.
Slide 33: This slide showcases model that can help institutional investors to predict and make investments in market.
Slide 34: This slide reveals the Stock market prediction through LSTM and XAI.
Slide 35: This slide portrays the Challenges faced in AI stock prediction.
Slide 36: This slide mentions about the Companies leveraging AI for stock market projection.
Slide 37: This slide contains the Heading for the Topics to be discussed further.
Slide 38: This slide depicts the Digital maturity model for tax administration.
Slide 39: This slide exhibits the Techniques used by AI for tax planning.
Slide 40: This slide represents Leveraging AI technologies for tax management.
Slide 41: This slide illustrates the Responsible AI framework deployment for tax planning.
Slide 42: This slide portrays the Title for the Topics to be covered further.
Slide 43: This slide showcases overview of current and future prediction of AI in insurance market size.
Slide 44: This slide indicates the AI usage across insurance value chain.
Slide 45: This slide presents the Title for the Contents to be covered in the upcoming template.
Slide 46: This slide showcases manual vs AI based claims processing to integrate AI technologies in organization.
Slide 47: This slide illustrates the AI framework for insurance claims processing.
Slide 48: This slide showcases framework that can help insurance companies in efficient and faster customer claims processing.
Slide 49: This slide mentions about the AI technologies used for insurance claims processing.
Slide 50: This slide showcases various AI-based technologies that are used by insurance companies in claim processing stages.
Slide 51: This slide indicates the Heading for the Topics to be further discussed.
Slide 52: This slide reveals the Overview of AI in insurance company that can help to monitor and mitigate the fraudulent activities.
Slide 53: This slide highlights the Traditional vs AI based fraud detection system for insurance.
Slide 54: This slide showcases usage of AI technologies in detecting and managing the insurance frauds.
Slide 55: This slide presents the Framework for AI-based insurance fraud detection.
Slide 56: This slide includes the Title for the Ideas to be discussed in the following template.
Slide 57: This slide states the overview of current and future prediction of AI in banking market size.
Slide 58: This slide portrays the transformation of customer experience in bank by using various AI technologies.
Slide 59: This slide displays the AI potential use cases in banking industry.
Slide 60: This slide exhibits the Heading for the Ideas to be covered further.
Slide 61: This slide displays the Importance of using AI for banking KYC.
Slide 62: This slide represents the Evolution of digital KYC over the years.
Slide 63: This slide portrays the AI solutions and applications in customer KYC process.
Slide 64: This slide talks about the AI technologies used by banks for KYC process.
Slide 65: This slide exhibits the Challenges in adopting AI-based KYC process.
Slide 66: This slide includes the Title for the Contents to be discussed next.
Slide 67: This slide showcases overview of AI that can help banking institutions to monitor and manage the fraud.
Slide 68: This slide highlights the various technologies used by banking institutions to monitor and manage the financial frauds.
Slide 69: This slide states the Steps to deploy AI model for banking fraud detection.
Slide 70: This slide talks about Leveraging AI to tackle banking fraudulent activities.
Slide 71: This slide exhibits the Heading for the Topics to be covered in the following template.
Slide 72: This slide states the Importance of leveraging AI for debt collection.
Slide 73: This slide displays the Issues solved by conversational AI in debt collection.
Slide 74: This slide presents the AI model to calculate probability of debt payment.
Slide 75: This slide showcases usage of artificial intelligence based voice agent to help organization in debt collection from different customers.
Slide 76: This slide incorporates the Title for the Topics to be covered next.
Slide 77: This slide showcases AI-based credit scoring that can help financial institutions to evaluate loan eligibility of applicant.
Slide 78: This slide outlines the Steps to develop AI-based credit scoring model.
Slide 79: This slide displays the AI decision tree analysis for credit risk management.
Slide 80: This slide contains the Heading for the Topics to be discussed in the next template.
Slide 81: This slide showcases overview of current and future prediction of AI in Fintech market size.
Slide 82: This slide exhibits the Benefits of AI deployment in FinTech sector.
Slide 83: This slide talks about the AI-powered technologies transforming FinTech sector.
Slide 84: This slide presents the Use cases of AI in FinTech sector.
Slide 85: This slide deals with Deploying AI for reducing cost and increasing revenue.
Slide 86: This slide includes the Title for the Ideas to be covered next.
Slide 87: This slide indicates the Path to digitize corporate finance functions.
Slide 88: This slide depicts the Use cases of AI in corporate finance.
Slide 89: This slide showcases artificial intelligence use cases based upon business value and feasibility.
Slide 90: This slide presents use cases of artificial intelligence technology during merger and acquisition deal procedure.
Slide 91: This slide talks about the various risks that are faced in artificial intelligence adoption for corporate finance.
Slide 92: This slide contains the Heading for the Ideas to be discussed in the following template.
Slide 93: This slide shows the Usage of different technologies in financial sales.
Slide 94: This slide depicts the AI model for cross selling and upselling.
Slide 95: This slide portrays the AI-based insurance customer service for increasing sales.
Slide 96: This slide elucidates the Usage of conversational AI to increase sales.
Slide 97: This slide displays the AI techniques for increasing financial sales.
Slide 98: This slide talks about Leveraging natural language processing technique for increasing sales.
Slide 99: This slide exhibits the Title for the Contents to be discussed next.
Slide 100: This slide depicts the AI-based tools for automated market trading.
Slide 101: This slide showcases artificial intelligence tools that can help financial institutions in financial fraud detection.
Slide 102: This slide mentions about the AI-based chatbots tools for enhanced customer experience.
Slide 103: This slide showcases overview of Chat GPT which use natural language process to determine word sequences and formulate sentences.
Slide 104: This slide reveals the Chat GPT use cases for financial institutions.
Slide 105: This slide states the different benefits of using ChatGPT that can help financial organizations.
Slide 106: This slide indicates the Heading for the Topics to be covered in the forthcoming template.
Slide 107: This slide exhibits the Training methods to prepare workforce for AI.
Slide 108: This slide talks about the Workforce upskilling process for AI adoption.
Slide 109: This slide highlights the Title for the Topics to be discussed further.
Slide 110: This slide showcases future impact of artificial intelligence technologies in different areas for finance.
Slide 111: This slide portrays the future impact of artificial intelligence technology usage on different finance sector jobs.
Slide 112: This slide reveals the Robo advisor future impact across wealth management value chain.
Slide 113: This slide exhibits the Future impact of AI in corporate finance.
Slide 114: This slide showcases future impact of implementing artificial intelligence technologies on trading plus investment.
Slide 115: This slide outlines the Heading for the Contents to be covered next.
Slide 116: This slide showcases case study of artificial intelligence technology implementation for improving projection in stock market.
Slide 117: This slide reveals the case study of artificial intelligence technology implementation for improving insurance underwriting process.
Slide 118: This is the Icons slide containing all the Icons used in the plan.
Slide 119: This is the Thank You slide for acknowledgemnet.
Slide 120: This is an additional slide.