Welcome to Data Driven Compliance. In this podcast, we discuss how to use data to improve and enhance the effectiveness of your compliance program, creating greater business efficiency, all leading to more return on investment for your compliance regime. Join host Tom Fox as he explores how data will drive your compliance program to the next level. This podcast is sponsored by KonaAI.
I recently had the opportunity to visit with Vince Walden, founder and CEO of KonaAI, for a podcast series on the uses of data driven compliance. Over these five podcasts, we will discuss generative AI and ChatGPT in compliance, the profiles of corrupt payments, making the business case for data-driven compliance, what to ask for and how to ask for it, and some success stories. In Part 1, we ask, ‘What’s all the hype around generative AI and ChatGPT in compliance’?
Vince Walden is a seasoned professional in the field of generative AI and chatbots, with a particular focus on compliance monitoring. He firmly believes that these technologies have the potential to improve the efficiency and effectiveness of compliance monitoring significantly. Drawing from her extensive experience in technology-assisted review and his current role at KonaAI, Walden sees practical applications for generative AI in navigating compliance monitoring functions and interacting with data dashboards, eliminating manual intervention. However, he also acknowledges the potential pitfalls of over-reliance on generative AI, such as the risk of false statements and the need for fact-checking. Despite these challenges, Walden remains optimistic about the future of generative AI and chatbots in transforming the compliance industry and explains why you should.
Key Highlights:
- The Evolution of Compliance Monitoring with Generative AI
- Efficient Compliance Monitoring with Generative AI
- The Importance of Fact-Checking ChatGPT
- Customizable Compliance Monitoring Tool for Companies
Resources:
Connect with Vince Walden on LinkedIn
Check out KonaAI
Connect with Tom Fox on LinkedIn