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Large-Scale Machine Learning at Verizon: Theory and Applications

Published:13 August 2016Publication History

ABSTRACT

This talk will cover recent innovations in large-scale machine learning and their applications on massive, real-world data sets at Verizon. These applications power new revenue generating products and services for the company and are hosted on a massive computing and storage platform known as Orion. We will discuss the architecture of Orion and the underlying algorithmic framework. We will also cover some of the real-world aspects of building a new organization dedicated to creating new product lines based on data science.

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  1. Large-Scale Machine Learning at Verizon: Theory and Applications

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    • Published in

      cover image ACM Conferences
      KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
      August 2016
      2176 pages
      ISBN:9781450342322
      DOI:10.1145/2939672

      Copyright © 2016 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 August 2016

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      • invited-talk

      Acceptance Rates

      KDD '16 Paper Acceptance Rate66of1,115submissions,6%Overall Acceptance Rate1,133of8,635submissions,13%

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