Payment Routing Optimization & Next-Gen Data Notebooks

We are pleased to invite you to our upcoming meetup, co-organized with Adyen, on Thursday, June 19, at the Adyen Amsterdam office. Get ready for two in-depth talks: one on real-world machine learning for payment routing optimization, and another on an innovative interactive next-gen notebooks data tool. We look forward to seeing you there! Food and drinks will be provided! 🚀💡

Note: To ensure a smooth check-in process, please register using your full name.

SCHEDULE
17.30 - 18.25: Welcome with drinks 🍕 / 🍻
18:25 - 18.30: Intro / About Adyen
18:30 - 19.15: Multi-Objective Optimization in Payment Routing - Yuan Yue & Simon van der Zon
19.15 - 19.45: Break
19:45 - 20.30: Let’s completely rethink the notebook - Vincent Warmerdam
20.30 - 21.00: Networking, food, drinks ! 🍻

TALKS
[Talk 1]: “Multi-Objective Optimization in Payment Routing” by Yuan Yue and Simon van der Zon

Machine learning (ML) models in production often start with a single objective, such as maximizing conversion rate in the payment industry. However, real-world business contexts are often more nuanced where other aspects relevant to a transaction, such as transaction cost or fraud risk, come into play. These objectives can be inherently conflicting: while optimizing for authorization may drive more revenue, it could also lead to higher costs or increased risk exposure.

Addressing such trade-offs necessitates the consideration of multi-objective optimization (MOO), while key information in the payment context plays a role in determining which objective should get more weight when considering the trade-off. In this talk we will share how we (Optimize ML team at Adyen) use the contextualized scalarization approach to improve our Intelligent Payment Routing product with a focus on conversion rate and transaction cost optimization.

[Talk 2]: “Let’s completely rethink the notebook” by Vincent Warmerdam

Jupyter notebooks have been around for a while now and are an approachable starting point for anyone interested to explore data and programming. It's done a lot of good, but it was never really designed to be "the" Python notebook. It's always wanted to support multiple languages and this is reflected in many of the design decisions. And that makes you wonder, what could one do if we really did do just that? What if we ignored other languages and really only cared about Python and data tools? Would the notebook be different?

The goal of this talk is to demonstrate this idea by talking about widgets, reactive Python, modern data tooling and also about the freedom to rethink your tools. There will also be demos. Lots. Of. Demos.

DIRECTIONS
Address:
Simon Carmiggeltstraat 6-50,
1011 DJ Amsterdam

The event will be held at the Adyen SC office event space, which is just a seven-minute walk from Amsterdam Central Station. Please enter through the main entrance (the revolving doors) and collect your visitor badge at the reception desk.

Note: To ensure a smooth check-in process, please register using your full name.