This is the code repository for The Future of Finance with ChatGPT and Power BI, published by Packt.
Transform your trading, investing, and financial reporting with ChatGPT and Power BI
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.
This book covers the following exciting features:
- Dominate investing, trading, and reporting with ChatGPT's game-changing insights
- Master Power BI for dynamic financial visuals, custom dashboards, and impactful charts
- Apply AI and ChatGPT for advanced finance analysis and natural language processing (NLP) in news analysis
- Tap into ChatGPT for powerful market sentiment analysis to seize investment opportunities
- Unleash your financial analysis potential with data modeling, source connections, and Power BI integration
- Understand the importance of data security and adopt best practices for using ChatGPT and Power BI
If you feel this book is for you, get your copy today!
All of the code is organized into folders.
Following is what you need for this book:
This book is for students, academics, data analysts, and AI enthusiasts eager to leverage ChatGPT for financial analysis and forecasting. It's also suitable for investors, traders, financial pros, business owners, and entrepreneurs interested in analyzing financial data using Power BI. To get started with this book, understanding the fundamentals of finance, investment, trading, and data analysis, along with proficiency in tools like Power BI and Microsoft Excel, is necessary. While prior knowledge of AI and ChatGPT is beneficial, it is not a prerequisite.
With the following software and hardware list you can run all code files present in the book (Chapter 1-8).
| Chapter | Software required | OS required |
|---|---|---|
| 1-8 | Python 3.9 or 3.10 | Windows, Mac OS X, and Linux (Any) |
James Bryant is a finance and technology expert, excels at identifying untapped opportunities and leveraging cutting-edge tools to optimize financial processes. With expertise in finance automation, risk management, investments, trading, and banking, he's known for staying ahead of trends and driving innovation in the financial industry. James has built corporate treasuries like Salesforce and transformed companies like Stanford Health Care through digital innovation. He is passionate about sharing his knowledge and empowering others to excel in finance. Outside of work, James enjoys skiing with his family in Lake Tahoe, running half marathons, and exploring new destinations and culinary experiences with his wife and daughter.
Aloke Mukherjee is a seasoned technologist with over a decade of experience in business architecture, digital transformation, and solutions architecture. He excels at applying data-driven solutions to real-world problems and has proficiency in data analytics and planning. Aloke worked at EMC Corp and Genentech and currently spearheads the digital transformation of Finance Business Intelligence at Stanford Health Care. In addition to his work, Aloke is a Certified Personal Trainer and is passionate about helping his clients stay fit. Aloke also has a passion for wine and exploring new vineyards.