Large-Scale Machine Learning at Verizon: Theory and Applications

被引：0
|
作者：
Srivastava, Ashok [1 ]
机构：
[1] Verizon, Palo Alto, CA 94301 USA
来源：
KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | 2016年
关键词：
Large-scale machine learning; Orion; Revenue Generation;
D O I：
10.1145/2939672.2945361
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：417 / 417
页数：1
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