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Building Teams and Culture that Support ML Innovation
Friday, January 22 | 
10:55 AM - 
11:25 AM PST

Traditional approaches to managing technical projects, organizing technical teams, and establishing organizational culture can often be at odds with innovating quickly in general and achieving success with machine learning and AI in particular. In this session we discuss how ML/AI executives can build highly effective ML teams, support them with the right processes and tools, and shift the broader organizational culture in ways that support rapid innovation and adoption of machine learning.


Ziad Ashgar
Executive Summit
Vice President, Product Management
Qualcomm Technologies
Pardis Noorzad
Executive Summit
Head of Data Science
Carbon Health
Ameen Kazerouni
Executive Summit
Chief Analytics Officer
Orangetheory Fitness
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