Vesting accurately and quickly is an ongoing challenge for companies, as employee data and rewards programs are constantly evolving, there’s limited time to get it right. Relying on manual analysis when managing pre-vesting data can lead to operational inefficiencies and data errors. 

By integrating machine learning, business leaders and equity compensation teams can identify hidden errors, anomalies, and trends before they lead to costly mistakes and a poor employee experience.

Join us for our webcast, Elevate Your Pre-Vesting Process with AI, in which we’ll discuss the following: 

• Benefits of integrating machine learning into pre-vesting processes
• How machine learning streamlines anomaly and trend detection
• How this strategy sets you up for further advanced AI capabilities, like supervised learning

Tim Oakes, Partner, Moss Adams

Since 1996, Tim has developed technology systems and applications to help companies manage employee human relations, compensation, and equity compensation processes. He’s a leader of the firm’s Business Solutions Group, which delivers leading-edge technology solutions for clients across a variety of industries.

Tim has experience managing and conducting all aspects of system development projects, including business justification and requirements, business process design, development and testing, production rollout and implementation, system stabilization, and ongoing enhancements.