26 au 28 février, 2025
Montréal, Canada
Replace complex business logic with machine learning models
Have you ever encountered code having so many conditions and processing scenarios that it was almost impossible to maintain?
What about replacing it with a self-improving automatically generated algorithm?
With the rise of ML and LLMs, programming complex business rules can be successfully replaced with ML-based solutions.
During this presentation you will learn how to integrate ML models in practice based on 3 example architectures.
What about replacing it with a self-improving automatically generated algorithm?
With the rise of ML and LLMs, programming complex business rules can be successfully replaced with ML-based solutions.
During this presentation you will learn how to integrate ML models in practice based on 3 example architectures.
Michał Żarnecki
CompanyHouse AG
With over 10 years of experience in cloud-based applications, he specializes in creating systems for mining large data sets using advanced technologies, including machine learning algorithms, natural language processing, and data science solutions. As the technical lead at CompanyHouse.de, he guides the technical direction and development of the CompanyHouse platform. He also shares his expertise by teaching machine learning and data mining at non-public university Collegium da Vinci in Poznan.
