Overcoming Challenges of Movement Data Quality to Enable High Fidelity Use Case

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Topic: "Overcoming Challenges of Movement Data Quality to Enable High Fidelity Use Case"

Speaker: Gabriel Durkin, Director of Data Science at Foursquare

Gabriel is responsible for developing streamlined, end-to-end data science processes and tailored ML solutions. Before joining Foursquare, Gabriel made the switch to data science after a career in Quantum Computing at Oxford and NASA.

Abstract:
Getting movement data right is hard. Distinguishing a visit from a passerby is difficult, particularly with signal interference in dense urban cities and busy indoor environments, not to mention options like buy-online-pickup-in-store. When businesses get location wrong, they lose customers’ trust, delivering suboptimal experiences and irrelevant information. For this reason, it is critically important to get movement data right, while preserving consumer privacy.

Join us for a webinar where Gabriel will share practical guidance for overcoming challenges of movement data quality.

You’ll learn:
– Best practices for structuring evaluations of movement data
– Top questions to ask your movement data providers
– How to set yourself up for success with a reliable, trustworthy location intelligence platform

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