by Radicalbit 15 May 2020

Reshaping Smart Mobility through Continuous Intelligence

The real value of new Smart Mobility services comes from meeting business and clients requirements more efficiently and faster.

However, a tailored customer experience with real-time recommendations and customer behaviours prediction or the seasonality of demand in a specific trade, demand real-time data management, and predictive analysis.

Working with real-time data involves the processing of a large amount of updating data (known as “stream processing”). And machine learning is the core behind predictive analytics. On the other hand, onboarding stream processing tools and operationalization of machine learning are difficult operations.

With a Platform dedicated to easy off-the-shelf real-time DataOps and MLOps ensuring no more bottlenecks and barriers in the delivery of data and analytics, we help Smart mobility key players make strategic decisions at the moment of awareness, instead of following in the footsteps of competitors.

Our high-value use case regarding Shared Mobility is proof of the effectiveness of our solution.