The Context and Challenges:
- Need for continuously learning artificial intelligence (AI) system to detect and correct errors with minimal human intervention.
- Vendor provided content originated in various formats from various sources. The output needed to be in same format to consumed by automated platforms (XML)
- Vendor provided content had variations that could prevent 100% automation.
- Massive normalization need to detect similar records and standardize the outputs
The Solution:
- An Artificial Intelligence drive system to automatically detect errors, correct errors and normalize variations to provide homogeneous inputs to distributed content servers.
- Progressive learning to minimize human intervention points and increasing process efficiencies.
- Operational dashboards to get content comprehensiveness, accuracy and timeliness metric
Technology:
- Linux (OS)
- MySql (Database)
- PHP / Perl / Java