Do you often get asked about the newest GenAI use cases? Or maybe you've run into a puzzling Langchain error? If so, this session is for you. You'll see how at Mollie, we tackled these challenges by building our own framework GaaS (GenAI as a Service). We'll show you how developing an in-house GenAI platform speeds up development and streamlines AI adoption across teams. By building together concrete examples, you'll learn how a centralized REST API can make AI tools easy to use for everyone—giving each business unit a secure and efficient way to build their own AI-powered solutions. Whether you're just starting out or looking for real-world inspiration, you'll walk away with practical insights to boost your next AI project.
talk-data.com
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Speaker
Stefano Polo
1
talks
Data Scientist
Mollie
Stefano Polo is a Data Scientist with 4 years experience in designing, building, and deploying machine learning solutions. Currently at Mollie, he develops machine learning and Generative AI solutions that drive direct business impact. Previously, he worked as a quant at leading Italian banks, creating advanced models for risk management and trading. He holds a Master's degree in Physics, where his thesis focused on reinforcement learning for pricing financial products.
Bio from: JAX for LLM Development at NVIDIA & AI in Production at Mollie
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