Efficient Deployment of Predictive Analytics through Open Standards and Cloud Computing

Open standards and cloud computing not only have the power to enable the development of new data mining applications across science and industry, but more importantly they also lower the total cost of ownership by avoiding proprietary issues and incompatibilities among systems. The Predictive Model Markup Language (PMML) standard, which allows for data mining models to be easily exchanged between analytic applications, has obtained broad industry support among commercial and open source vendors.

With a focus on interoperability and PMML, we discuss emerging trends in cloud computing and Software as a Service (SaaS), which have already started to play a critical role in promoting a more effective implementation, higher scalability and real-time application of predictive models. As an illustration of how the benefits of open standards and cloud computing can be combined, we describe the Zementis ADAPA predictive analytics scoring engine platform that leverages these elements to deliver an efficient deployment process for statistical models on Amazon EC2.

Dr. Michael Zeller, CEO, Zementis Inc.
Dr. Zeller manages the strategic direction of Zementis, a software company focused on predictive analytics, data mining and advanced decisioning technology. His vision is to combine science and software to create superior business and industrial solutions that leverage predictive models and rules in real-time. Providing the financial industry with innovative business solutions, Michael has extensive experience in strategic technology implementation, business process improvement, and system integration. Previously, Michael served as CEO of OTW Software, a company focused on implementing structured software engineering processes and delivering object-oriented analysis and design services. Prior to his engagement at OTW, he held the position of Director of Engineering for an aerospace firm, managing the implementation of IT solutions for major aerospace corporations. Michael received a Ph.D. in Physics from the University of Frankfurt (Germany), with emphasis in the development of neural networks, robotics, and human-computer intelligent interaction. Michael also received a visiting scholarship from the Department of Physics at the University of Illinois at Urbana-Champaign, was the recipient of a Presidential Postdoctoral Fellowship from the Computer Science Department at the University of Southern California, and was an invited researcher at the Advanced Telecommunications Research Institute International in Kyoto, Japan.

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Posted by on Jul 24 2010. Filed under Analytics / BI, Japan, Latest Cloud News, Life Sciences. You can follow any responses to this entry through the RSS 2.0. You can leave a response or trackback to this entry
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