Monday, August 25, 2014

Hortonworks/Zementis Webinar: Hadoop’s Advantages for Machine Learning and Predictive Analytics

Please join Ofer Mendelevitch, Director of Data Science of Hortonworks and Michael Zeller, Founder and CEO of Zementis as they present key learnings as to what drives successful implementations of big data analytics projects. Their knowledge comes from working with dozens of companies from small cloud-based start-ups to some of the largest companies in the world.

When: Wednesday, September 10, 2014 at 10 am PST / 1 pm EST

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Hortonworks will present their approach to using Apache Hadoop for predictive models with big data, and the benefits of Hadoop to data scientists. Zementis will demonstrate how to quickly deploy, execute, and optimize predictive models from open source machine learning tools like R and Python as well as commercial data mining vendors like IBM, SAP and SAS.

Zementis leverages the PMML open industry standard (Predictive Model Markup Language) providing a higher ROI for Big Data and predictive analytics initiatives. At the same time reducing IT costs, and improving the quality of predictive model management while requiring no change in how data science teams do their day-to-day work.

Whether your company is just beginning to work with predictive analytics or has an experienced data science team this webinar will provide valuable insights on how to move predictive models into an operational environment based on Hadoop and Hive and using open industry standards while eliminating the custom coding and delays typically associated with these projects. Please join us for this exciting presentation and discussion.

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Wednesday, August 20, 2014

Zementis Sponsors SIGKDD 2014 Test of Time Award

The SIGKDD Test of Time Award recognizes outstanding papers from past KDD conferences beyond the last decade that have had an important impact on the data mining research community.  SIGKDD is the ACM Special Interest Group for Knowledge Discovery and Data Mining.  Not only since the advent of “Big Data”, but for 20 years, the annual SIGKDD conference has been the leading global forum for data scientists and practitioners from academia, industry and government to disseminate cutting edge research results and to demonstrate innovative applications.


It is our privilege to support the SIGKDD 2014 Test of Time Award as it recognizes influential contributions published in KDD conference proceedings which have had a substantial impact on data science.  Selected by a committee of leading scientists and supported by thousands of citations since their original publication, one could almost call it the “Nobel Prize in Data Science.”





The following three papers were selected by the award committee to receive the inaugural award:

  • A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise [KDD 1996]
  • Integrating Classification and Association Rule Mining [KDD 1998]
  • Maximizing the Spread of Influence through a Social Network [KDD 2003]
For abstracts and additional details, please see the SIGKDD web site blog.

Please join us at KDD 2014 in New York City, August 24-27, to celebrate the winners at an interdisciplinary event which will bring together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

Monday, August 18, 2014

UCSD's John Freeman interview with Alex Guazzelli, Zementis CTO: Predictive Analytics, Big Data, and PMML


Dr. Alex Guazzelli, Zementis CTO, has been extra busy lately by teaching a class at UCSD Extension entitled "Predictive Models with PMML". As the 6-week course is nearing its end for this Summer quarter, Dr. Guazzelli was invited by John Freeman, Director of Communications for UCSD Extension, for an interview  on UCTV's Career Talk to discuss Predictive Analytics, Big Data and PMML.

The interview itself was broadcast last week and it is now AVAILABLE ONLINE.





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