About

Data is one of the main drivers of innovation in the mobility space. Initiatives like car-sharing, smart logistics, and claim handling all benefit when data is leveraged to the fullest. Machine Learning can contribute heavily to those innovations.

During MLMOB you will learn why and how the mobility sector companies apply Machine Learning, and the challenges they face during development and implementation.

The ticket number is limited.

Program

An interactive setting, where technical leads from scale-ups and the mobility sector challengers will share their Machine Learning use cases and experiences. Check the speakers and agenda below.

Speakers

Tom van Arman, Smart City Strategist @ Tapp:

ML as Design Tool to create more meaningful and purposeful public space

Mario Wester, CTO @ Yource:

Automating Flight Compensation Claims

Dylan Herrebout & William Nolan, Machine Learning @ Snappcar:

Ranking the Cars

Taras Slipets, Senior Software Engineer @ Flixbus:

Evolution of AWS Infrastructure for ML, from Zero to Hero!

Agenda

15:00 - 15:30 Walk-in

15:30 - 15:40 Opening

15:40 - 17:00 ML in Mobility Session One

• Talk 1: Tom van Arman, Tapp
• Talk 2: Mario Wester, Yource

17:00 - 17:10 Break

17:10 - 18:30 ML in Mobility Session Two

• Talk 3: Dylan Herrebout & William Nolan, Snappcar
• Talk 4: Taras Slipets, Flixbus

18:30 - 20:00 Networking - Drinks & bites