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

The future of biotech trading – the Moderna Momentum trade visualization

As a Power BI expert, let’s break down each component of the Moderna Momentum trading strategy and the visualization that could be ideal for each:

  1. Clinical trial results: A time series line graph would provide a visual representation of the clinical trial stages (phases I, II, and III) over time. This line could be color-coded to indicate successful trials (green), ongoing trials (yellow), and failed trials (red). Each data point (that is, trial) could be interactive, offering additional details on hover, such as the trial’s start and end dates, its goals, and its outcomes.
  2. FDA regulatory announcements: A similar time series line graph could be used to represent FDA regulatory announcements, with color-coding to differentiate between approvals (green) and rejections (red). A separate bar graph can visualize the number of approvals and rejections over time. Interactive features...