Overview
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Explore how to blend data science with design thinking to create exceptional AI/ML products in this 26-minute talk by Michael Radwin, VP of Data Science at Intuit. Learn a methodology for creative problem-solving that focuses on deep customer empathy, broad ideation, and rapid prototyping. Discover how to apply these principles to both supervised and unsupervised machine learning models, as well as traditional AI expert systems. Examine real-world case studies, including Mint's overdraft prediction system, QuickBooks Self-Employed's mobile mileage tracking, and TurboTax's Tax Knowledge Engine. Gain insights into developing data products that not only solve business problems but also deliver outstanding user experiences.
Syllabus
Introduction
Design Thinking
Mint Overdraft
Mileage Tracking
TurboTax
Questions
Taught by
Open Data Science