We've updated our privacy policy. Click here to review the details. Tap here to review the details.
Activate your 30 day free trial to unlock unlimited reading.
Activate your 30 day free trial to continue reading.
Download to read offline
TomTom has the mission of creating a world free of congestion and better driving experience. In order to do that, we need to understand driving behavoiur from end users, at the same time that we optimize the operational costs of our services. However, due to the large scale of our probe data from vehicles providing insights and performing advanced analytics can can be quite challenging.
During this discussion I will showcase two use cases where Databricks, Delta Lake and MLflow has enabled us to accelerate innovation. The first one is the IQMaps usecase. IQMaps is a system designed specifically for in-dash systems – taking the same up-to-date user experience you expect from navigation apps and bringing it to reliable, in-car navigation. IQ Maps learn the drivers’ driving patterns and updates the map regions that are most relevant to the user, using Wi-Fi or 4G. However, optimizing the data network consumption, which can have a high cost, while keeping the best driving experience, by having the map updated, requires complex simulations using millions of locations traces from vehicles. Apache Spark has been our key instrument to find the best balance to this trade off. The second use case is Destination Prediction. For many years, we have offered a personalized feature on our navigation products that predicts with high accuracy the driver’s next destination. Nonetheless, with the exponential increase and availability of data, and the access to more sophisticated Machine Learning models, we have revisited this feature to take it to the next level. Both us ecases take advantage of the latest frameworks and tools available on Databricks. With MLflow and Delta we have been able to find the best models that predict the destination for each individual driver, and to track each one of the KPIs.
TomTom has the mission of creating a world free of congestion and better driving experience. In order to do that, we need to understand driving behavoiur from end users, at the same time that we optimize the operational costs of our services. However, due to the large scale of our probe data from vehicles providing insights and performing advanced analytics can can be quite challenging.
During this discussion I will showcase two use cases where Databricks, Delta Lake and MLflow has enabled us to accelerate innovation. The first one is the IQMaps usecase. IQMaps is a system designed specifically for in-dash systems – taking the same up-to-date user experience you expect from navigation apps and bringing it to reliable, in-car navigation. IQ Maps learn the drivers’ driving patterns and updates the map regions that are most relevant to the user, using Wi-Fi or 4G. However, optimizing the data network consumption, which can have a high cost, while keeping the best driving experience, by having the map updated, requires complex simulations using millions of locations traces from vehicles. Apache Spark has been our key instrument to find the best balance to this trade off. The second use case is Destination Prediction. For many years, we have offered a personalized feature on our navigation products that predicts with high accuracy the driver’s next destination. Nonetheless, with the exponential increase and availability of data, and the access to more sophisticated Machine Learning models, we have revisited this feature to take it to the next level. Both us ecases take advantage of the latest frameworks and tools available on Databricks. With MLflow and Delta we have been able to find the best models that predict the destination for each individual driver, and to track each one of the KPIs.
You just clipped your first slide!
Clipping is a handy way to collect important slides you want to go back to later. Now customize the name of a clipboard to store your clips.The SlideShare family just got bigger. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd.
Cancel anytime.Unlimited Reading
Learn faster and smarter from top experts
Unlimited Downloading
Download to take your learnings offline and on the go
You also get free access to Scribd!
Instant access to millions of ebooks, audiobooks, magazines, podcasts and more.
Read and listen offline with any device.
Free access to premium services like Tuneln, Mubi and more.
We’ve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data.
You can read the details below. By accepting, you agree to the updated privacy policy.
Thank you!