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The Future of Finance with ChatGPT and Power BI

You're reading from The Future of Finance with ChatGPT and Power BI Transform your trading, investing, and financial reporting with ChatGPT and Power BI

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781805123347

Length 406 pages

Edition 1st Edition

Tools

Power BI

Concepts

GPT/LLMs

Authors (2):

James Bryant

Aloke Mukherjee

View More author details

Table of Contents (13) Chapters

Preface

1. Part 1: From Financial Fundamentals to Frontier Tech: Navigating the New Paradigms of Data, EVs, and AgTech FREE CHAPTER

2. Chapter 1: Financial Mastery with ChatGPT: From Basics to AI Insights

3. Chapter 2: Creating Financial Narratives with Power BI and ChatGPT

4. Chapter 3: Tesla’s Financial Journey: AI Analysis and Bias Unveiled

5. Chapter 4: John Deere’s AgTech Revolution – AI Insights and Challenges

6. Part 2: Pioneers and Protectors: AI Transformations in Software, Finance, Biotech, and Cybersecurity

7. Chapter 5: Salesforce Reimagined: Navigating Software and LLMs

8. Chapter 6: SVB’s Downfall and Ethical AI: Smart AI Regulation

9. Chapter 7: Moderna and OpenAI – Biotech and AGI Breakthroughs

10. Chapter 8: CrowdStrike: Cybersecurity in the Era of Deepfakes

11. Index

Why subscribe?

12. Other Books You May Enjoy

Case study: Tesla Inc.

We will focus on evaluating Tesla’s financial performance and identifying potential investment opportunities and risks using ChatGPT and AI-generated insights.

Using ChatGPT, we’ll scrutinize key trends and growth drivers from financial statements and SEC filings and identify potential risks and weaknesses, such as global chip shortages or increased competition. We’ll also benchmark Tesla’s performance against key competitors and industry averages.

Lastly, we will discuss trading strategies that vary based on risk tolerance levels: aggressive and conservative. For each strategy, we will provide examples of how one might go about investing in Tesla.

Evaluating investment opportunities and risks with AI-driven insights

In this practical use case, let’s explore how to use AI-generated insights and ChatGPT to evaluate Tesla’s financial performance and identify potential investment opportunities and risks.

We...

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Authors (2)

Bryant

Bryant

Shaun Bryant is an Autodesk Certified Instructor (ACI) at Platinum level with over 34 years of industry experience. 21 of these 34 years have been spent as a consultant, trainer, and instructor. Shaun is a world-class LinkedIn Learning [in]structor with over 60 courses in the LinkedIn Learning library and is also the owner and author of the reputable blog, Not Just CAD! Shaun has been an Autodesk University (AU) speaker since 2006 and is an AU Speaker Mentor. He was also the AutoCAD expert at the first AU London in the UK in 2017. Shaun is a member of the Autodesk Expert Elite program and an AutoCAD Influencer, and lives in East Yorkshire in the UK where he is the owner and director of the company CADFMconsultants Limited.

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Mukherjee

Mukherjee

Sudipta Mukherjee was born in Kolkata and migrated to Bangalore. He is an electronics engineer by education and a computer engineer/scientist by profession and passion. He graduated in 2004 with a degree in electronics and communication engineering. He has a keen interest in data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning at large. His first book on Data Structure using C has been received quite well. Parts of the book can be read on Google Books. The book was also translated into simplified Chinese, available from Amazon.cn. This is Sudipta's second book with Packt Publishing. His first book, .NET 4.0 Generics , was also received very well. During the last few years, he has been hooked to the functional programming style. His book on functional programming, Thinking in LINQ, was released in 2014. He lives in Bangalore with his wife and son. Sudipta can be reached via e-mail at sudipto80@yahoo.com and via Twitter at @samthecoder.

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