International Business Machines Corporation

Vamshi Dondapati

Balaji Sankar Kumar

Vidya Chandrashekar

Akshat Dixit

Bindu Tank

Manu K M

Arun Sabaresh Anantha Narayanan

Arun Aravind

An embodiment converts, by a voice-to-text converter, voice data to text data. The embodiment extracts, by an extractor, an intent and an entity from the text data. The embodiment predicts, by a predictor, based on the intent and the entity, a sensitive information. The embodiment compares, by an intersector, the text data to the predicted sensitive information. The embodiment determines, by the intersector, responsive to the comparing, whether the text data includes the predicted sensitive information. The embodiment intersects, by the intersector, responsive to a determination that the text data includes the predicted sensitive information, the voice data.

Identification and prevention of sensitive information exposure in telephonic conversations

An embodiment includes generating an intent representative of a verb identified in application programming interface (API) test data associated with an API test case. The embodiment also generates a first entity representative of a first noun identified in the API test data and a second entity representative of a second noun identified in the API test data. The embodiment identifies the intent as being associated with a relationship between the first and second entities in the API test case. The embodiment generates a relationship model associated with the API test case, where the relationship model includes the intent as the relationship between the first entity and the second entity. The embodiment generates a conversation model of an artificial intelligence (AI) conversation agent by mapping the intent and the first and second entities to dialog nodes of the conversation model.

Generating an AI conversation model using API test data

Growing community of inventors

Hyderabad Telangana, India

Vamshi Dondapati