Techniques for a network-accessible cognitive automation platform for a self-driving application are provided. The platform includes a cognitive operating system, which includes a data crawler configured to discover and extract data stored in internal systems and external third-party systems, a data processing engine configured to cleanse, correlate, link, etc., transactional and unstructured data, and a cognitive data layer (CDL) configured to process the transformed crawled data with various models and algorithmic libraries of metrics, trends, and metadata to identify a root cause of an issue and prescribe actions to mitigate or overcome risks related to the issue. A cognitive development kit is configured to build a specific skill application on top of the cognitive operating system, the specific skill application generating recommendations, actions, and predictions. A search processor and GUI are configured to perform a search request of the data in the CDL and display the results in the GUI.
COGNITIVE AUTOMATION PLATFORM