Building Trust in Machine Learning with Business Stakeholders
Chris Lacava
VP of Product
Expero
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/
Interested in Structuring?
Visit our Structuring community!
How should an ideal organization look like? What approaches can help you to make your organization more efficient? Let's try to find answers together in our Structuring topic. Here we discuss problems of org design/team structure, process (agile/kanban, etc), engineering metrics, knowledge management/documentation.
VIDEOS RELATED TO STRUCTURING
Peter Bell, Founder & CTO at CTO Connection
Aaron Erickson, Co-Founder & CEO at Orgspace
Belle Walker, Founder at Belleview Consulting
Kit Colbert, Senior Vice President and Chief Technology Officer at VMware
Tyler Jewell, Managing Director at Dell Technologies Capital
Andrea Goulet, Co-Founder at Corgibytes, LLC
Jeremy Johnson, Co-Founder and CEO at Andela
Bryan Helmkamp, Founder and CEO at Code Climate
Bryan Helmkamp, Founder and CEO at Code Climate

Copyright © 2024 CTO Connection, All Rights Reserved