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Track Talk T9

Testus Patronus: No Magic, Just AI with Your Company Context

Paula Bassagañas

Track Talk
12:00 – 14:30, Tuesday 11th November CET

Did you ever wish you could ask an AI about your specific product requirements, past test cases, or internal technical documentation? While powerful, standard large language models lack the context of your unique business landscape. This session demystifies how to bridge that gap.

Join this talk to explore the architecture and potential of building a custom AI helper using Retrieval-Augmented Generation (RAG)—a powerful technique for securely connecting AI to your proprietary data. We will cover the fundamental concepts behind RAG, outlining the essential components and workflow required to create an AI that understands your product or organization’s context.

In the second part of this talk, I want you to experience how to write an Approval Test by giving you a live coding example so you can start utilizing this tool instantly.

BACK TO PROGRAMME

What you will Learn

  1. Grasp the core concepts of Retrieval-Augmented Generation (RAG).
  2. Understand the architecture for building an AI that uses your company's data.
  3. Discover practical ways a contextual AI can optimize testing and development.

Session Details

  • Introductory
  • 30mins
  • 15mins Q&A
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Sessions Speaker

Paula Bassagañas

Boehringer Ingelheim, Germany

As an experienced IT Architect based in Barcelona, I specialise in seamlessly integrating Test Engineering and Backend expertise. My diverse background spans significant companies, with a notable focus on the health sector, where my determination lies in creating resilient data platform test strategies, particularly in the realm of ETL testing. Beyond the tech realm, my passion extends to teaching at Pompeu Fabra University, where I have the privilege of nurturing the next generation of IT professionals.

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