How to inform users, building caretakers and companies handling waste bins exactly when the truck will be driving by? That’s what we tried to solve.
Imagine a fitness app where a virtual assistant helps users to reach their goals and to stay motivated.
Microsoft and Schneider Electric have selected craft ai to join its AI Factory for Green Energy.
Craft AI has been selected among the best AI solutions by DGA & Dassault Aviation through the Man Machine Teaming (MMT) call for explainable AI projects
This paper presents some of the foundations of craft ai and especially how we introduced Machine Learning of user habits in an explainable context.
This article presents how craft ai boost a website conversion rate by proposing adapted products to the users using predictive UX and hyper-personalized content
Overstocks, out-of-stocks, dead stock … Retailers’ business depends on their ability to optimize their warehouse management.
On behalf of the whole Craft AI team, we wish you an incredible year with a lot of success in all your projects! Here's your monthly dose of Craft AI news 👇
The Big Data conference IEEE BigData 2019 launched a new kind of Machine Learning competition, based on live data streams of a univariate time series.
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.
Due to rising energy cost and the need to limit environmental impacts Dalkia has decided to put the optimization of energy performance at the heart of its strat
With Craft AI, Buddy will be able to program himself by continuously learning the family members habits and make personalized recommendations at the right time.
We use an open source dataset to show how customer behavior analysis and machine learning can make a notable impact on every online business revenue
The French company Craft AI has won the 2nd Edition of “Start & Pulse”, an international program launched by Credibom (a Crédit Agricole group subsidiary)
How Dalkia has successfully deployed explainable AI for energy performance management
"A fully automated periodicity detection in time series" by Tom Puech, Matthieu Boussard, Anthony D’Amato, and Gaëtan Millerand.
This paper presents an improvement of the information gain function used in a lot of decision tree Machine Learning algorithms
The craft ai team wishes you all the best for the year 2019! May it bring you success in all your AI projects!