The mobility industry has been the beneficiary of many different Machine Learning applications that are having a great and visible impact. As the amount of data generated by millions of vehicles and vessels on intelligent, connected transportation systems increase exponentially, novel real-time insights are becoming commercially feasible. That is, if your organization has hit its stride with its digital transformation. Empowered with data and Machine Learning, transportation industry leaders and decision makers have the opportunity to do more with less, while simultaneously finding effective ways to make their industry more environmentally friendly and socially responsible.
BigML is organizing a virtual conference that will explore the current trends in the Intelligent Mobility industry. Presenters will be sharing real-world examples of Machine Learning applications that are dramatically improving mobility systems and infrastructure while facilitating the rapid transportation of goods and commodities that make the global economic engine hum.
The event is ideal for professionals working in the fields of transportation, logistics, infrastructure, highway concession operators, and related public institutions. Those interested in finding out about the latest in the Intelligent Mobility industry are also welcome.
All sessions will be online. The event date and agenda will be announced shortly and will cover topics such as route optimization, shipping volume prediction, predictive fleet maintenance, real-time vehicle tracking, traffic condition prediction, better plate recognition, signal monitoring, dynamic pricing, among others.
We are currently calling for speakers! Here are some topics we would love to hear about at the virtual conference on Intelligent Mobility:
Real-world examples and Machine Learning use cases. Tell the world what your organization or institution is doing to introduce positive change in the Intelligent Mobility space:
- Route optimization
- Shipping volume prediction
- Predictive fleet maintenance
- Real-time vehicle tracking
- Traffic condition prediction
- Better plate recognition
- Signal monitoring
- Dynamic pricing
Autonomous transportation: Self-driving cars, trucks, ships and drones.
Public Transportation Services.
Societal impact of Machine Learning in the Intelligent Mobility industry: Where we are and where we are headed.
Comparisons between how different countries and authorities are approaching the transportation challenge while meeting environmental and climate change goals.
If you are applying Machine Learning to solve a challenging mobility problem and want to share it with thousands of people, please submit your proposal before April 30, 2021 at 11:59 PM CEST. This is a great opportunity to share your story with an audience of innovators, practitioners and decision makers from around the world.SUBMIT YOUR PROPOSAL