Session Outline
In this session at the Data Innovation Summit 2024, we have Per Jernström and Henri Suonto from VR Group! For creating optimal network-wide train schedules, they use ML models to estimate revenue potential, as well as mathematical optimization to then derive the globally optimal solution. This full-stack analytics solution is implemented with cloud architecture, and it utilizes a low-code user interface.
Key Takeaways
- How different disciplines of analytics are used together to solve a combinatorically difficult task.
- How low-code products like Power Apps can be used to create user interfaces to serve in-house developed solutions.
- How to use “knit together” cloud services from different vendors like AWS, Snowflake, Gurobi and Microsoft in one solution.
