Scénarios Métiers

Contexte :
A public health institute is analyzing a dataset of 1 million patients to estimate the effect of a specific lifestyle change ('Active') vs 'Sedentary' on recovery days. Due to the data volume, they...

Contexte :
A factory wants to determine if a 'HighSpeed' machine setting causes more defects compared to 'Normal'. The outcome is binary (Defect: Yes/No). They use Targeted Maximum Likelihood Estimation (TMLE...

Contexte :
An IT Operations center monitors server error logs every hour. Due to the high volume of data (24/7 monitoring), analysts do not want to see 'normal' charts. They strictly want a report generated O...

Contexte :
A hospital uses a stricter standard than the industry default for monitoring sterilization defects. Instead of the standard 3-sigma limits, they require 2-sigma limits to catch potential issues ear...

Contexte :
A textile manufacturer needs to monitor the number of weaving defects per standard roll of fabric. The Quality Assurance team wants to automatically detect not just outliers (points beyond control ...