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PAPIs 2015 - International Conference on Predictive APIs and Apps

Date2015-08-06 - 2015-08-07

Deadline2015-04-25

VenueSydney, Australia Australia

Keywords

Websitehttps://www.papis.io

Topics/Call fo Papers

PAPIs is the International Conference on Predictive APIs and Apps. It is the premier forum for the presentation of new machine learning APIs, techniques, architectures, and tools to build predictive applications. It brings together practitioners from industry, government and academia to present new developments, identify new needs and trends, and discuss the challenges of building real-world predictive applications. PAPIs' audience includes developers, data scientists and researchers, but also non-technical types. The 2nd edition of the conference, PAPIs ’15, will be held in Sydney on 6-7 August 2015 (right before KDD).
PAPIs Connect is a series of local events targeted at decision makers that complement the annual PAPIs conference. The next event will take place in Paris, France on 21 May 2015.
About presentations: PAPIs runs a call for proposals every year, which are reviewed rigorously by a committee of experts and thought leaders in machine learning, data science and predictive analytics. The selected proposals make up most of the conference program. PAPIs Connect functions differently: presentations are exclusively from speakers invited by our committee. Note that none of our events' sessions can be bought, apart from short product showcases which are clearly labeled and grouped together.
"PREDICTIVE APPS"?
Predictive Apps were initially defined by Forrester as apps that provide the right functionality and content at the right time, for the right person, by continuously learning about them and predicting what they’ll need. More generally, they are apps that embed predictive capabilities and they are being embraced by diverse industries such as Automotive, Banking, Insurance, Life Sciences, Manufacturing, Energy, Retail, Telecommunication and Utilities, to solve a myriad of use cases: predictive maintenance, risk analysis, claim prediction, diagnosis, personalized recommendations, lead scoring, churn prevention, etc.

Last modified: 2015-03-04 21:49:25