Automation without any manual interface

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 (J2EE Application Server)