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 accessible in AP automation solutions in recent years. Our guest, Kristin Ewart of Dooap, tells us how her clients are deploying ML as part of their AP and invoice management solutions today and how the experience has transitioned from one of training and modelling to one of passive learning and rapid deployment. 

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

Show Notes:

• 1:30 - How much and how often is ML used today in AP scenarios?
• 4:00 - ML capabilities that are adding value in AP automation solutions
• 7:30 - The relationship between automation and ML training
• 8:45 - Capturing data based on invoice history with OCR and other ML tools
• 10:00 - Benefits realized from 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