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

Future-proofing LLMs – solutions on the horizon

Given the escalating risks, especially indirect prompt injection, various promising mitigation methods are being explored:

  • AI-guided security protocols: Real-time monitoring for immediate threat detection and mitigation
  • Blockchain-based verification: Ensuring the integrity of transactions and data
  • Quantum encryption: Revolutionary methods for unbreakable data encryption
  • Behavioral analytics and biometrics: Customized, robust authentication mechanisms
  • Regulatory compliance automation: Automated checks to ensure compliance with global standards

The following are examples of solutions in action:

  • A leading bank is using AI-guided security protocols for real-time threat identification
  • A fintech start-up has made strides in implementing quantum encryption for ultra-safe transactions

The incorporation of LLMs in the financial sector is an exciting yet perilous journey. As we delve deeper...