Adyen Developer Events and Meetups

⚠️ Attendees must complete this Envoy registration form to access the office for the event. Do it as soon as possible as there are limited slots to attend. An RSVP on Meetup does not guarantee your entry!
https://invites.envoy.com/group-invite/lkxrogbG3BZvalFi

Hello!!
We're thrilled to share the news: Adyen and BBVA are launching a new meetup series in Madrid focused on how AI is transforming financial services.

AI is no longer just an experiment. It is already reshaping how financial services run and serve customers: from payments and risk management to customer experience and personalization. That’s the reason why we’re opening up a new space to share knowledge, connect with peers, and discuss AI beyond the hype.

We invite AI builders and enthusiasts to join us for our first in-person session, which will take place at Adyen’s offices in Madrid on the 27th of May. Experts from Adyen and BBVA will share how AI is being applied across payments and banking–from practical use cases to the operational and regulatory hurdles that come with deploying AI in financial services.

📝 Agenda

• 18:00 - 18:30: Arrival
• 18:30 - 19:00: BBVA Talk with Q&A
• 19:00 - 19:30: Adyen Talk with Q&A
• 19:30 - 20:30: Networking and light bites

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🎙️ Talks description
BBVA
Speaker:
- Edgar Mesa - Data Scientist (GenAI).
- Álvaro Serrano - Data Product Owner & Lead Gen AI Data Scientist
Scaling text generation: challenges and learnings
We’ll cover how we use dynamic tools, automated editing, and self-reflection for technical long-form writing with AI. Learn how a global reviewer fixes inconsistencies and how we use business rubrics for evaluation, solving the challenge of subjective quality in the absence of a clear ground truth.

Adyen
Speaker:
- Martín Iglesias – Machine Learning Engineer.
The path towards the Adyen's foundational model
How do you build a foundation model for payments? In this talk, Martín Iglesias will share the technical journey behind training on trillions of payment events and the hard lessons learned along the way when applying large-scale machine learning to real-world financial data.