Wei Zhang
Adv. Artif. Intell. Mach. Learn., 2 (1):303-314
Wei Zhang : Adobe Inc.
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
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.