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In this session, we will give insights into current and past AI projects, such as ML-based fraud detection in e-Commerce (classification), fraud detection in the context of credit card transactions (outlier/novelty detection), the accurate prediction of replenishment times in the manufacturing industry (regression), causal discovery (which processes have an influence on other processes), and many others. We will talk about the direct interaction of Qlik with machine learning tools and show how the ETL-strengths of Qlik are of value as a basis for machine learning projects. Once the data is consolidated and cleaned, further analysis is always much easier, and we would like to share the experiences we made during these projects.
INFORM GmbH has been specializing in data driven decision making for decades. Founded in 1969 with a focus on operations research (OR), INFORM has now more than 750 employees providing solutions in various domains, e.g. production planning, supply chain management, aviation logistics and many more. Our priority was always to enable our customers to make the best data-driven decisions possible. Accordingly, we have been focussing not only on OR but also BI and AI for years.
Attendance is on a First Come, First Served basis. Arrive early to guarantee your seat in this session.
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