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

SVB’s Downfall and Ethical AI: Smart AI Regulation

In the previous chapter, we looked at the remarkable transformation of Salesforce, from being under siege to being a trailblazer in the AI and ChatGPT revolution, using sentiment analysis, and being a game-changer in assessing market trends and predicting corporate turnarounds.

This captivating narrative unfolded through the prism of market sentiment. We also introduced you to a trailblazing AI-driven options trading strategy, ingeniously combining sentiment analysis with the Rule of 40. We created an autonomous Activist AI Agent, using tools such as Langchain, ChatGPT, and Streamlit. Finally, this chapter offered an incisive examination of Large Language Models (LLMs). We navigated the vast expanse of proprietary, open source, and specialized finance LLMs, unraveling their unique attributes and comparative advantages.

In this chapter, we will explore the dramatic collapse of Silicon Valley Bank (SVB) following a cascade...