Talk26: Building a Compliant and Reliable AI Platform

We're excited to invite you to our upcoming meetup where we'll share the story of building, experimenting with, and implementing an AI Platform for N26.

We'll dive into the core challenges and insights of integrating a new, disruptive technology like AI into a complex system of a digital bank. You'll hear about our goals for AI within the FinTech industry and discover practical examples of AI integration within our Data Science team, including the workflows we've developed.

🚀 Event description

⚡ AI strategy at N26: A pragmatic approach
by Jean-Pierre Sleiman, Head of AI and Data Products @ N26
and Walter Vargas, Principal Engineer @ N26

In this first part, we will demystify Generative AI as a paradigm shift, explaining how it fundamentally differs from previous technologies. We will then explore the vast opportunities it creates for FinTechs, covering high-impact use cases that can transform all areas of the business. Finally, we will share N26's pragmatic and use-case-driven strategy, detailing how they leverage dedicated platforms and new ways of working while ensuring strict adherence to ethical and compliance principles.

⚡ Achieving Proof of Value with GenAI on AWS
by Maike Tigges, Senior Specialist for Machine Learning and Generative AI at Amazon Web Services (AWS)

In this session, AWS experts will share practical insights on how organizations can move beyond experimentation and achieve Proof of Value with Generative AI. Drawing from real-world customer engagements, they will explore key patterns, pitfalls, and accelerators for driving measurable business outcomes with GenAI. From building scalable foundations to aligning use cases with strategic goals, the presentation will showcase how AWS help teams rapidly validate AI solutions and unlock tangible value across industries.

⚡ From Notebook to Production: Building Trustworthy AI Platforms in FinTech
by Ivan Zea Armenta, Data Scientist @ N26

A Data Science perspective implementation of AI Platform. Ever wondered what it takes to move from a data science idea to a production-ready AI solution in FinTech? In this talk, we’ll break down the end-to-end process—from data preparation and experimentation to deployment and monitoring—highlighting how our AI platform empowers each step. See how integrated tools, automated workflows, and strong governance enable us to deliver secure, compliant, and reliable AI, all while keeping humans in the loop. Join us for a practical look at the journey from notebook to production, powered by the right platform choices.

🗓 Agenda:

18:00: Doors open

18:30: AI strategy at N26: A pragmatic approach

19:00: Achieving Proof of Value with Generative AI on AWS

19:20: Break

19:40: From Notebook to Production: Building Trustworthy AI Platforms in FinTech

20:10: Networking & Snacks

21:00: Doors close

Speakers:
🗣 Jean-Pierre Sleiman - Head of Product @ N26
Jean-Pierre Sleiman is a Head of AI and Data Products at N26, bringing over a decade of experience from both consulting and industry to drive AI and digital transformation in the financial sector.

🗣 Walter Vargas - Principal Engineer @ N26
Walter is Principal Engineer at N26, he leads the AI Platform initiative. With a deep background in systems engineering and cloud architecture, currently focused on scaling intelligent infrastructure that empowers product and compliance teams to safely and efficiently integrate AI across the organization.

🗣Maike Tigges - Senior Specialist for Machine Learning and Generative AI @ Amazon Web Services (AWS)
Maike Tigges helps enterprise customers unlock the value of AI across industries. With over four years at AWS and a strong background in enterprise strategy, Maike brings a unique blend of commercial insight and technical acumen to guiding organizations from idea to proof of value in their GenAI journeys.

🗣Ivan Zea Armenta - Data Scientist, GenAI @ N26
Ivan is a Data Scientist focused on generative AI, with a strong interest in large language models and state-of-the-art techniques. He enjoys solving complex problems and is passionate about advocating the use of constrained generation in LLM applications.

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🚀 Registration

Please sign up to the meet-up using your full legal name and bring a valid photo ID document to the event. You may be refused entry if your name doesn't match your ID or if you are unable to present a valid photo ID.