Summary
In this final chapter, we discussed how we can utilize AI for data quality management. At the start, we covered what AI is as well as its applications in finance. After that, we worked on hands-on examples to detect anomalies in financial transactions using a generative AI solution called ChatGPT. We gained an appreciation of how we can use this tool to produce similar results as we did in previous chapters. Then, we dived deeper into how we can use this tool to find missing data entries and values in our transactions and correct them. Lastly, we discussed the best practices to make the most out of AI-powered tools and solutions for data integrity.
Congratulations on finishing this book! I hope you found this to be an incredible journey considering we’ve covered different practical solutions to address various data integrity issues and challenges. If there are areas or topics that are unfamiliar to you, feel free to go back and review them again. At the same time...
