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How operationalizing XAI enables stock management?

Overstocks, out-of-stocks, dead stock ... Retailers' business depends on their ability to optimise their warehouse management. A lot of progress has been made in the last decade thanks to new management paradigms and control processes.

How eXplainable AI improves energy performance

Due to rising energy cost, scarcity of resources and the need to limit environmental impacts, Dalkia has decided to put the optimization of energy performance at the heart of its strategy. To meet this challenge, Dalkia created the Desc (Dalkia Energy Savings Center) back in 2013, a control center for energy performance management of its customers' sites to ensure better comfort and lower energy consumption.

Information gain ratio correction

This paper presents an improvement of the information gain function used in a lot of decision tree Machine Learning algorithms. It was published on arXiv.org.

Periodic split method

This paper presents specific features of the Craft AI Machine Learning engine that enable it to better take into account typical rhythms in human activities. In particular, it improves the quality and explainability of predictive models related to those.

Forgetting Methods for White Box Learning

This paper presents some of the foundations of Craft AI and especially how we introduced Machine Learning of user habits in an explainable context. It also introduces the initial version of our forgetting method that is able to unlearn lost habits.