Using Artificial Intelligence for Finance Data Quality Management

Congratulations! You’ve made it to the last chapter of this book! In this chapter, we will be covering artificial intelligence (AI) and how various AI-powered solutions and techniques can address data integrity issues. Consider a scenario where a large dataset containing sales transactions has missing or incorrect details. Instead of fixing these data integrity issues manually, we will explore how we can use AI to automatically identify these discrepancies, suggest potential changes, and even perform necessary corrections. Exciting, right?

That said, these are the topics that we will cover:

• Introduction to AI
• Applications of AI in finance
• Detecting anomalies in financial transaction data
• Handling missing financial reporting data with AI
• Best practices when using AI for data integrity management

By the end of this chapter, you will have a better understanding of what AI-powered...