Date: 15.4.2026, 4 p.m. (CEST)
Language: English
Speaker: Christian Alexander Graf (Quality Assurance & Statistics)
Artificial Intelligence (AI) is rapidly transforming industries and companies, creating at the same time unprecedented opportunities for innovation and efficiency and new risks for process quality, trustworthiness and security. Deploying AI systems at scale therefore presents significant challenges to traditional quality assurance and testing practices.
This webinar provides a comprehensive overview of these unique challenges – from data collection to model deployment. A special emphasis is given to evaluating the quality and fitness for use of AI systems meant to be deployed for specific or general purposes within an organisation.
This session is designed for technical leaders, QA professionals, and anyone responsible for deploying and maintaining AI-powered applications in a businesscritical environment.