Abstract: According to some embodiments, methods and systems may manage a fleet of multi-tenant logical databases in Relational Database Management System (“RDBMS”) servers for a cloud computing environment. The system may include a pool of physical RDBMS servers (e.g., Postgre-Structured Query Language (“SQL”) servers) and a tenant-aware Application Programming Interface (“API”) that is accessed by tenants. A computer processor of a database allocation engine may receive, from the tenant-aware API, a request to provision a logical database including a tenant identifier associated with a requesting tenant. The database allocation may then select an eligible physical RDBMS server in the pool of physical RDBMS servers and allocate a logical database for the requesting tenant via the selected physical RDBMS server (e.g., using the tenant identifier).

Abstract: A system that is capable of resolving anaphora using timing data received by a local device. A local device outputs audio representing a list of entries. The audio may represent synthesized speech of the list of entries. A user can interrupt the device to select an entry in the list, such as by saying “that one.” The local device can determine an offset time representing the time between when audio playback began and when the user interrupted. The local device sends the offset time and audio data representing the utterance to a speech processing system which can then use the offset time and stored data to identify which entry on the list was most recently output by the local device when the user interrupted. The system can then resolve anaphora to match that entry and can perform additional processing based on the referred to item.

Abstract: A method and a system for authenticating users by implementing artificial intelligence techniques is provided. A graphical user interface (GUI) is rendered on a computing device of a user by a server. The GUI displays objects in random motion. The objects are selected in a sequential manner by the user to form a pattern. With each selection of the object, a corresponding confidence score is determined that is based on a set of factors. Further, the selected object becomes static and the remaining objects that are yet to be selected continue to move in random motion. On forming the pattern, the aggregate of confidence scores is determined to authenticate the user.

Abstract: A system that is capable of resolving anaphora using timing data received by a local device. A local device outputs audio representing a list of entries. The audio may represent synthesized speech of the list of entries. A user can interrupt the device to select an entry in the list, such as by saying “that one.” The local device can determine an offset time representing the time between when audio playback began and when the user interrupted. The local device sends the offset time and audio data representing the utterance to a speech processing system which can then use the offset time and stored data to identify which entry on the list was most recently output by the local device when the user interrupted. The system can then resolve anaphora to match that entry and can perform additional processing based on the referred to item.

Abstract: A method and a system for authenticating users by implementing artificial intelligence techniques is provided. A graphical user interface (GUI) is rendered on a computing device of a user by a server. The GUI displays objects in random motion. The objects are selected in a sequential manner by the user to form a pattern. With each selection of the object, a corresponding confidence score is determined that is based on a set of factors. Further, the selected object becomes static and the remaining objects that are yet to be selected continue to move in random motion. On forming the pattern, the aggregate of confidence scores is determined to authenticate the user.