Abstract: Systems and methods to automatically classify records managed by a collaboration environment are described herein. Exemplary implementations may perform one or more of: obtain model training information including model training input information and training output information, the training input information including a subset of work unit information included in records, the training output information including hierarchical information and/or clustering information included in records; train a machine learning model based on the model training information to generate a trained model configured to output classifications within hierarchies and/or clusters; store the train model; and/or other operations.

Abstract: Systems and methods to automatically classify records managed by a collaboration environment are described herein. Exemplary implementations may perform one or more of: obtain model training information including model training input information and training output information, the training input information including a subset of work unit information included in records, the training output information including hierarchical information and/or clustering information included in records; train a machine learning model based on the model training information to generate a trained model configured to output classifications within hierarchies and/or clusters; store the train model; and/or other operations.

Abstract: A method is provided for monitoring status of subjects in an area for a system including a first data set identifying locations of subjects, a second data set identifying events in the area, and a third data set identifying whether accounts matched to the subjects exist. The method includes executing a graphical user interface including a map of at least part of the area including avatars identifying locations of subjects located on the map, and representing respective statuses assigned to the subjects located on the map, the statuses being assigned to the subjects based on one or more of the first, second and third data sets, wherein the assigning of the respective statuses to the subjects are assigned by utilizing at least one of the first, second and third data sets to determine that at least one subject of the subjects is a high risk of loss subject.

Abstract: Systems and techniques are provided for monitoring status of subjects in an area of real space. The system includes a display having access to memory storing a first data set identifying locations of subjects in the area of real space over time, a second data set identifying item put and take events in the area of real space and a third data set identifying accounts matched to the subjects in the first data set. The system includes a graphical user interface logic that renders a map on the display of at least part of the area of real space including avatars having locations on the map corresponding to locations in the area of real space according to the first data set, and identifying respective statuses assigned to the subjects based on one or more of the first data set, the second data set and the third data set.

Abstract: Systems and techniques are provided for monitoring status of subjects in an area of real space. The system includes a display having access to memory storing a first data set identifying locations of subjects in the area of real space over time, a second data set identifying item put and take events in the area of real space and a third data set identifying accounts matched to the subjects in the first data set. The system includes a graphical user interface logic that renders a map on the display of at least part of the area of real space including avatars having locations on the map corresponding to locations in the area of real space according to the first data set, and identifying respective statuses assigned to the subjects based on one or more of the first data set, the second data set and the third data set.

Abstract: Techniques are provided for an adapter device configured to enable communications between a quad small form-factor pluggable (QSFP) transceiver unit and a CXP host port. The adapter device comprises a first connector unit, a second connector unit, a microcontroller unit and a plurality of reception equalizer units. Data signals are sent by the transceiver unit to a first equalizer unit via the first connector unit. The first equalizer unit adjusts the data signals and sends the data signals to the host port via the second connector unit. Likewise, data signals are sent by the host port to a second equalizer unit via the second connector unit. The second equalizer unit adjusts the data signals and sends the data signals to the transceiver unit via the first connector unit.

Abstract: Techniques are provided for an adapter device configured to enable communications between a quad small form-factor pluggable (QSFP) transceiver unit and a CXP host port. The adapter device comprises a first connector unit, a second connector unit, a microcontroller unit and a plurality of reception equalizer units. Data signals are sent by the transceiver unit to a first equalizer unit via the first connector unit. The first equalizer unit adjusts the data signals and sends the data signals to the host port via the second connector unit. Likewise, data signals are sent by the host port to a second equalizer unit via the second connector unit. The second equalizer unit adjusts the data signals and sends the data signals to the transceiver unit via the first connector unit.

Abstract: An intelligent network (20) provides an ability for a user (22) to customize the use of intelligent network services in an automated fashion. A service control point (32) controls operation of the intelligent network services and automatically controls how a service switch point (28) or a home location register (74) maintains a database (72) containing trigger detection point criteria that indicates when an intelligent network service should be provided. In a disclosed example, a user can use a telephone (21) or a mobile station (22) for interfacing with the service control point (32) to set up, modify or cancel an intelligent network service.