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L'Oréal Canada's Bespoke Data Science Strategy Framework

Toronto Machine Learning Series (TMLS) via YouTube

Overview

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Discover L'Oréal Canada's bespoke data science strategy framework in this 47-minute conference talk from the Toronto Machine Learning Series. Learn why a strong AI strategy is crucial for successful implementation and how L'Oréal Canada overcame challenges in establishing their data science and AI practice. Gain insights on assessing organizational maturity in data valuation, identifying high-value projects, effectively scoping initiatives, building ML teams amidst resource shortages, and key points for implementing a data science practice. Benefit from real-world examples in retail and e-commerce, along with practical tips and advice based on field experience. Walk away with a reusable framework in PDF format and use case ideas to drive your own AI practice.

Syllabus

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Taught by

Toronto Machine Learning Series (TMLS)

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