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SUMMARY:Managing the quality of AI systems: different than you think
DESCRIPTION:&gt\;&gt\; This will be held in German language
 In this prese
 ntation\, you will learn why traditional approaches to quality assessment 
 are no longer sufficient for generative AI - and what you as an IT project
  manager should pay attention to in order to achieve reliable results. In 
 contrast to conventional IT systems\, generative AI always provides an ans
 wer. As these results are often in text or voice form\, they initially app
 ear correct\, but may be incorrect or inappropriate in terms of content. T
 his makes verification complex and often remains subjective or unsystemati
 c. The result: the system works technically\, but is not usable!
 You wil
 l learn why such challenges occur and how you can react to them in your pr
 ojects. Andre will show you which architectural decisions have a significa
 nt influence on quality and how you can use them to improve the performanc
 e of your GenKI systems.
 You will also learn how to systematically evalu
 ate and control the quality of GenKI with clear metrics\, automated labeli
 ng and synthetic test data. These approaches will help you to achieve the 
 most important goal of an IT project manager: a system that is used and cr
 eates real added value.
 &gt\;&gt\; You want to learn more about quality 
 assessment of generative AI? Then join us!
DTSTART:20250220T173000Z
DTEND:20250220T190000Z
DTSTAMP:20220613T131305Z
ORGANIZER;CN=PMI Germany Chapter e.V.:MAILTO:website@pmi-gc.de
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