Book Image

The Future of Finance with ChatGPT and Power BI

By : James Bryant, Aloke Mukherjee
2.5 (4)
Book Image

The Future of Finance with ChatGPT and Power BI

2.5 (4)
By: James Bryant, Aloke Mukherjee

Overview of this book

In today's rapidly evolving economic landscape, the combination of finance, analytics, and artificial intelligence (AI) heralds a new era of decision-making. Finance and data analytics along with AI can no longer be seen as separate disciplines and professionals have to be comfortable in both in order to be successful. This book combines finance concepts, visualizations through Power BI and the application of AI and ChatGPT to provide a more holistic perspective. After a brief introduction to finance and Power BI, you will begin with Tesla's data-driven financial tactics before moving to John Deere's AgTech strides, all through the lens of AI. Salesforce's adaptation to the AI revolution offers profound insights, while Moderna's navigation through the biotech frontier during the pandemic showcases the agility of AI-focused companies. Learn from Silicon Valley Bank's demise, and prepare for CrowdStrike's defensive maneuvers against cyber threats. With each chapter, you'll gain mastery over new investing ideas, Power BI tools, and integrate ChatGPT into your workflows. This book is an indispensable ally for anyone looking to thrive in the financial sector. By the end of this book, you'll be able to transform your approach to investing and trading by blending AI-driven analysis, data visualization, and real-world applications.
Table of Contents (13 chapters)
Free Chapter
1
Part 1: From Financial Fundamentals to Frontier Tech: Navigating the New Paradigms of Data, EVs, and AgTech
6
Part 2: Pioneers and Protectors: AI Transformations in Software, Finance, Biotech, and Cybersecurity

Revolutionizing Financial Oversight with BankRegulatorGPT – An AI Persona

Creating a new persona, BankRegulatorGPT, acting as an intelligent financial regulation model, would be adept at identifying potential issues with any publicly traded US bank. By simply inputting the bank’s stock symbol, we could provide invaluable insights for bank depositors concerned about their bank’s liquidity, creditors checking the servicing of their debt, and investors interested in the stability of their equity investment in the bank.

Here are the key indicators BankRegulatorGPT would evaluate:

  • CAR: This is a crucial measurement of a bank’s ability to absorb losses
  • Liquidity Coverage Ratio (LCR): This could indicate a bank’s short-term liquidity under stress scenarios
  • Non-Performing Loan (NPL) ratio: This could signify potential losses and a risky loan portfolio
  • Loan-to-Deposit (LTD) ratio: High LTD ratios may imply over-exposure to risk
  • Net...