Name: Solving vehicle routing using Timefold's explainable AI
Start: 2024-04-17T18:00:00+02:00
End: 2024-04-17T19:00:00+02:00
Location: Faculty of Informatics Masaryk University

Speaker: Lukáš Petrovický (Timefold, [https://www.linkedin.com/in/petrovicky/](https://www.linkedin.com/in/petrovicky/), [https://jvm.social/@petrovicky](https://jvm.social/@petrovicky))

Abstract:

Decisions made by artificial intelligence are notoriously difficult to understand by us, mere mortals.

In this session, we will show how to use Timefold Solver to optimize the Vehicle Routing Problem (VRP) in Java. We will show Timefold Solver's advanced capabilities to explain the reasons behind the decisions it is making, and how AI can co-exist with humans, making their lives easier.

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AI is making an impact on the IT world. Come learn how exactly it helps with planning problems integrated into your Java programs from one of the leading engineers working on Timefold!

We will go online this time! - [https://www.youtube.com/watch?v=W4gYkEgltB4](https://www.youtube.com/watch?v=W4gYkEgltB4)

After the talk, we will have the after-party as usual.

Martin Štefanko

Brno Java User Group (BrnoJUG)

Technology

Java

Mobile Development

Web Services

Cloud Security

Computer Security

Service-Oriented Architecture

Solving vehicle routing using Timefold's explainable AI

AI Algorithms

Faculty of Informatics Masaryk University

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Brno Java User Group (BrnoJUG)

Solving vehicle routing using Timefold's explainable AI

Brno Java User Group (BrnoJUG)

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