Abstract: A system for anomaly estimation for a telephonic call is described, receiving a call object including an identifier field associating the call object to a purported user; retrieving a user data object associated with the purported user, and processing the user data object to retrieve one or more vectorized user features associated with the purported user. A neural network processes the one or more vectorized call features and the one or more vectorized user features through a machine learning model.

Abstract: A system and method are disclosed for image processing of one or more items in an inventory of one or more supply chain entities. Embodiments include receiving an initial set of images of at least two items in the inventory, identifying color distributions from the initial set of images using two encoders, and grouping colors of the at least two items based on similarities of the identified color distributions using a color coding model.

Abstract: A system and method are disclosed for image processing of one or more items in an inventory of one or more supply chain entities. Embodiments include receiving an initial set of images of at least two items in the inventory, identifying color distributions from the initial set of images using two encoders, and grouping colors of the at least two items based on similarities of the identified color distributions using a color coding model.

Abstract: There is described a computer-implemented method for proactively increasing a satisfaction of a customer, comprising: receiving information about a given customer; identifying patterns of disruptive events associated with a risk factor; using the information about the given customer, associating the given customer to a given one of the identified patterns; determining a given action configured for increasing the satisfaction of the given customer, the given action being determined based on the given one of the identified patterns, the given action being one of an action to be performed and a proposed action of which a performance is to be inhibited; and outputting the action.

Abstract: A system for anomaly estimation for a telephonic call is described, receiving a call object including an identifier field associating the call object to a purported user; retrieving a user data object associated with the purported user, and processing the user data object to retrieve one or more vectorized user features associated with the purported user. A neural network processes the one or more vectorized call features and the one or more vectorized user features through a machine learning model.

Abstract: Methods of and systems for managing network resources enabling network services over a network and methods of and system for managing maintenance of network resources. The method comprises generating an expected performance level of the network services; accessing internal data relating to operations of the network and external data not relating to operations of the network; generating a prediction of a network service pattern based on the expected performance level of the network services, the internal data and the external data; identifying a decision scenario for orchestration of the network resources, the decision scenario establishing a configuration of the network resources, the decision scenario being generated based on a correlation of the prediction of the network service pattern and availability of the network resources; and causing to adapt the network resources based on the decision scenario.

Abstract: Coarse alignment between either of the sections and the optical device is effected by using a vision subsystem comprising of two video cameras or a single movable camera and a sideview mirror. Coarse alignment is achieved by aligning corresponding corners of a section and the optical device. Then, given that the dimensions and positioning of the ports and the fibers are known, the optical device is translated along two axes to coarsely align its port with the fibers on the section to be attached. Fine alignment is effected by passing an optical signal through the optical device and adjusting the position/orientation of the optical device to maximize the intensity of light output from the output ports. The optical device is placed on a six axis robot and is adjusted to optimize its alignment with either of the input or the output sections.