Leveraging Satellite Imagery and Machine Learning to Improve Ride-Sharing and Food Deliveries

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Date recorded: Aug. 19, 2021

Grab is a leading superapp in Southeast Asia and operates across the delivery mobility and digital financial services sectors in more than 400 cities in eight countries in the region. Grab enables millions of people to connect with its driver and merchant partners to order food or groceries, send packages, hail a ride, pay for online purchases, or access lending, insurance, wealth management and telemedicine services, all through a single “everyday everything” app.

Grab uses Maxar satellite imagery to identify missing roads, buildings and location data for deliveries and for mapping purposes, helping Grab deliver a better experiences for its customers.

Join our expert from Grab in an in-depth talk on how mapping innovations help the company make informed decisions and give it a competitive edge in the market.

Presented by

Presenters

Philipp Kandal

Head of Engineering, Geo I Grab

Philipp Kandal is Head of Engineering, Geo for Grab. In his role he leads a global team of hundreds of people work hard to improve maps and location experiences for all of Grab's customers. Previously, Kandal was SVP Engineering for Telenav Inc., a firm in Silicon Valley that provides connected car solutions. Before that, he was an entrepreneur: Kandal started Skobbler, which was sold to Telenav in 2014.