Setting Expectations for Complex ML Solutions - with Vish Rajalingam of MulticoreWare

This week’s guest is Vish Rajalingam, AI Solutions Architect at MulticoreWare, a 250-person AI services firm focused primarily on smart cities and autonomous vehicles. Vish also holds a Master’s degree in Computer Science, focusing on Artificial Intelligence from UT Arlington. Today, Vish shares his insights from his experience working on and understanding algorithms and interacting with clients and customers to set realistic expectations about measuring AI success and potential capabilities. To explore this episode’s topics more, visit emerj.com to read our popular AI best-practice guide, “Setting the Right AI Expectations – A Key for Turning Pilots into Deployments.”