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Open Standards for Machine Learning Model Deployment

Consulting header photo

Event Date:

14,Tue Jan 2020

Event Time:

05:30 PM

Event Location:

Chicago IBM Innovation Center , Chicago

Machine learning and data science are in popular demand. Predictive model deployment is the part of the machine learning process where the practical results are achieved, when the model is used for generating predictions on new data (known as scoring). The deployment used to present big difficulties, as models were typically built in one environment and needed to be deployed in a different one. Often they would need to be re-implemented in a new programming language, that would be very slow and error-prone.

Join us to learn about open standards that have made the process of model deployment easier. Predictive Model Markup Language (PMML) and Portable Format for Analytics (PFA) were developed by the Data Mining Group (DMG). PMML has been around for more than 20 years and is used widely. PFA is an emerging standard that is getting a lot of interest. Open Neural Network eXchange (ONNX) format was recently developed by Facebook and Microsoft as a way to exchange deep learning (DL) models between different DL frameworks. It is now very actively worked on by many companies and contributors. Attendees will get a good understanding of predictive model deployment challenges and approaches.

About our Expert Presenter:

Svetlana Levitan

Svetlana Levitan

Svetlana Levitan is a Developer Advocate with IBM Center for Open Source Data and Artificial Intelligence Technologies. She has been a software engineer and technical lead for SPSS statistical and machine learning components for 18 years. Svetlana represented SPSS and after 2009 acquisition IBM at the Data Mining Group (DMG). She is the DMG release manager for PMML and PFA, open standards for model deployment. Lately she also works on another open standard, ONNX, that is quickly gaining popularity in Deep Learning communities. She holds a PhD in Applied Mathematics and MS in Computer Science from University of Maryland, College Park. Svetlana loves to share her expertise and takes every opportunity to involve girls into STEM. Her two daughters enjoy Computer Science, Mathematics, and technology in college and high school.


All event registrations are final

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Event F.A.Q

Is there any security? Yes, please make sure to register yourself and any guests as well as bring ID for the building

Yes, please make sure to register yourself and any guests as well as bring ID for the building

Will there be refreshments? Yes, refreshments will be provided

Yes, refreshments will be provided

Event Location:

Total Seat: 200
  • Chicago IBM Innovation Center
  • 71 S Wacker Drive
  • Chicago
  • IL
  • USA

Event Schedule Details

  • 14,Tue Jan 2020
    05:30 PM - 07:30 PM
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