Abstract: Various methods and processes, apparatuses or systems, and media for using a semantic search approach for identifying and recommending testing software artefacts for reuse for testing new software functionality are disclosed. The method includes: receiving stories that include natural language textual descriptions of sets of user requirements; converting, by using a predetermined text vectorization technique, each story into a respective embedding that includes a respective vector representation thereof; receiving a new story, and converting the new story into a new embedding; comparing the new embedding to each respective embedding, and generating a respective similarity score that relates to a respective semantic similarity between the respective embedding and the new embedding; for each respective embedding having a high similarity score, identifying testing artefact(s) that are associated with the respective story; and generating a list of recommendations based on the identified testing artefact(s).

Abstract: Systems and methods for intraday facility monitoring are disclosed. In one embodiment, a method for real-time management of risk exposure for an organization may include (1) a server comprising at least one computer processor ingesting a plurality of messages from a plurality of source systems, each message relating to credit extended by an organization to one of a plurality of clients of the organization; (2) the server enriching each of the plurality of messages with reference data; (3) the server persisting the plurality of message in a database; (4) the server determining a credit risk exposure based on the persisted messages; (5) the server comparing the credit risk exposure to a risk threshold; and (6) the server reporting the credit risk exposure.