Machine learning is often received with skepticism by business stakeholders. How can ML be presented in a way that non-data scientist stakeholders can assess it's output objectively and build confidence in it's application? We'll review techniques, pit falls and examples of creating model comparison analysis solutions for business use cases that take a hybrid approach. We'll explore ways that ML can live alongside established analytics processes harmoniously along with other strategies that foster adoption of ML among business stakeholders. Chris LaCava, VP of Product, Expero - Recorded for the online CTO Summit on Tuesday July 13th, 2021 on building a data science team - https://www.ctoconnection.com/