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

Technical requirements

Here are the hardware requirements for this chapter:

  • A computer with at least 4 GB of RAM (8 GB or more is recommended)
  • A stable internet connection to access financial data, news sources, and APIs
  • A processor with a minimum of two cores (four cores or more is recommended for efficient computations)

Here are the software requirements for this chapter:

  • Python (version 3.11.3 or newer) installed on your computer
  • Python libraries such as Requests, Beautiful Soup, and pandas for data analysis, manipulation, and visualization

Here are the APIs and data sources for this chapter:

  • An OpenAI API key to access GPT-based models for natural language processing and AI-driven insights
  • Financial data APIs, such as Quandl, Alpha Vantage, Intrinio, and Yahoo Finance, to fetch historical stock prices, financial statements, and other relevant data

These technical requirements should provide a solid foundation to perform...