What drives successful implementations of big data analytics projects? Hortonworks’ Director of Data Science,
Ofer Mendelevitch, teams up with Zementis’ Founder and CEO Michael Zeller to discuss their learnings from working with dozens of companies from small cloud-based start-ups to some of the largest companies in the world.
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.