MSDW Podcast: Machine Learning in Accounts Payable for Microsoft Dynamics 365

Editor’s Note: This episode is sponsored by Dooap.

Machine learning technology has become more common and more available in AP automation solutions in recent years. Our guest, Kristin Ewart from Dooap, tells us how her customers are implementing ML as part of their AP and invoice management solutions today, and how the experience has gone from training and modeling to passive learning and rapid deployment.

But not all ML capabilities are created equal, and Kristin offers guidance on what to expect in areas like predictive coding, three-way matching, and workflow automation with a Dynamics 365 solution. She also shares her observations that the experience of workers involved in AP approvals has improved and how those responsible for managing these processes can benefit.

Show notes:

• 1:30 – How much and how often is ML used today in AP scenarios?
• 4:00 – ML Capabilities Adding Value in AP Automation Solutions
• 7:30 – The relationship between automation and ML training
• 8:45 – Collection of data based on invoice history with OCR and other ML tools
• 10:00 – Benefits achieved by transitioning from rules-based solutions to ML
• 14:30 – How ML predictive models work in Dooap today and what passive learning really means
• 18:00 – What’s next for ML in automation scenarios

Book a demo with Dooap at www.dooap.com/book-a-demo