Predictive APIs for public needs - Alexandre Vallette - PAPIs.io '14 скачать в хорошем качестве

Predictive APIs for public needs - Alexandre Vallette - PAPIs.io '14

Recycling centers where designed 40 years a ago and now have trouble managing the huge demand they are facing. Cars often queue for hours and people often find container which is already full. The result is a huge amount of waste buried or burned where it could have been recycled. A contextual predictive model was developed in order to provide the citizens with the information: what is the best moment to go to which recycling center in terms of waiting time and bin availability ? This predictive model depends on sensors deployed in each recycling centers and various open data sources. The API here is the web that links avery parts: the sensors to push new version of the software and source the measurements in real time the predictive models is fed with fresh measurements and fresh data the web/mobile app with the predictions the users demands are crowdsourced to a server the BI tools of the waste managements authorities We hope to demonstrate how a predictive API like ours can solve real life problems. The slides for this presentation can be found at http://lanyrd.com/2014/papis2014/sdfyrz/ For more content like this, sign up to the PAPIs.io newsletter at http://papis.io/#updates