ISSN :2582-9793

Estimating Data Loss At Scale

Original Research (Published On: 31-Mar-2022 )
Estimating Data Loss At Scale
DOI : 10.54364/AAIML.2022.1120

Wei Zhang

Adv. Artif. Intell. Mach. Learn., 2 (1):303-314

Wei Zhang : Adobe Inc.

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DOI: 10.54364/AAIML.2022.1120

Article History: Received on: 17-Mar-22, Accepted on: 27-Mar-22, Published on: 31-Mar-22

Corresponding Author: Wei Zhang

Email: wzhang@adobe.com

Citation: Wei Zhang (2022). Estimating Data Loss At Scale. Adv. Artif. Intell. Mach. Learn., 2 (1 ):303-314

          

Abstract

    

For companies that serve corporate customers, Customer Service Outage (CSO) is a catastrophic event that may lead to some loss of their customer data. After each CSO, it is important to have a timely and quantitative measurement of how much data was lost. However, it is impractical for human to do so due to the enormous amount of data. In this paper, we present a robust solution that can return numerical loss report within hours. It handles a variety of challenges that are associated with the data. Consequently, management team can gauge the severity of data loss right after each event and respond accordingly.

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