Open standards and cloud computing: KDD-2009 panel report

Authors:
Michael Zeller;Robert Grossman;Christoph Lingenfelder;Michael R. Berthold;Erik Marcade;Rick Pechter;Mike Hoskins;Wayne Thompson;Rich Holada
Affiliations:
Zementis, San Diego, CA, USA;Open Data Group, River Forest, IL, USA;IBM, Boeblingen, Germany;KNIME.com, Zurich, Switzerland;KXEN, Paris, France;Microstrategy, Carlsbad, CA, USA;Pervasive, Austin, TX, USA;SAS, Raleigh-Durham, NC, USA;SPSS, Chicago, IL, USA
Venue:
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Year:
2009

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Abstract

At KDD-2009 in Paris, a panel on open standards and cloud computing addressed emerging trends for data mining applications in science and industry. This report summarizes the answers from a distinguished group of thought leaders representing key software vendors in the data mining industry. Supporting open standards and the Predictive Model Markup Language (PMML) in particular, the panel members discuss topics regarding the adoption of prevailing standards, benefits of interoperability for business users, and the practical application of predictive models. We conclude with an assessment of emerging technology trends and the impact that cloud computing will have on applications as well as licensing models for the predictive analytics industry.