This was created with the software solution APOLLO, which is based on IBM SPSS Modeler. Together with the plant's logistics experts, avantum developed a predictive model.

In a three-hour workshop, avantum and Siemens evaluated opportunities for improvement, after which Siemens decided to implement ML algorithms to forecast sales volumes. The sales forecast at Siemens business unit showed low reliability with negative effects on inventory and delivery reliability.

Download the planning in a nice PDF format (Forecaster #7).

Is it time to switch to Linux on your desk?ĭetecting Icy Bridges with AWS, Image Processing and AI Informix data analysis by Cloud Pak for Data Why is data quality important in an NLP project? Why and When should I use IBM Business Analytics vs. Perfecting the last mile of the analytics supply chainįorecasting at Scale – an Automated Approach Intelligent planning process automation at Siemensīoost your financial planning with automatic forecasting You do not have to do anything, simply join AIDAUG at. Registration is free for all AIDAUG members. Speakers get notification of acceptance of papers. Make sure you are a member of register to the event to get the web conference links.

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Sessions should last 20 minutes of lecture and 10 minutes of Q&A, as we want to create a strong network. Several sessions of 30 minutes to ensure a very dynamic event.A major keynote featuring a word-renown AI leader: Dr.AIDAUG will hold its first planetary-wide event on Pi Day (πday) 2022.

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