Abstract: A management system receives inputs over a period of time from outputs of one or more sensors placed within a proximity to a service area, the one or more sensors for detecting at least one of at least one weight and at least one sound. The management system dynamically estimating, based on a rate of a percentage of change of the at least one weight over the period of time and types of sounds of the at least one sound for the service area, one or more wait times until a completion of use of the service area. The management system dynamically generating one or more wait time estimates in real time for a particular user requesting a particular service area size met by a current service area size of the service area based on the one or more wait times and a current number of other users waiting for the particular service area size.

Abstract: A method for controlling a display screen brightness level for an electronic device. In one embodiment, the electronic device determines a first ambient light level and associates the first ambient light level with a first priority weight value. The electronic device further determines a second ambient light level and associates the second ambient light level with a second priority weight value. A display controller within the electronic device sets the display screen brightness level based, at least in part, on the first ambient light level, the second ambient light level, and at least one of the first and second priority weight values.

Abstract: Provided are techniques for displaying a first image on a first device, wherein the first image comprises an image characteristic; analyzing, at a second device remote from the first device, a viewing characteristic corresponding to the first image; responsive to detecting the viewing characteristic meets a criteria, transmitting a signal from the second device to the first device; and responsive to the signal, controlling a programmable parameter corresponding to the image characteristic on the first device to modify a display of a second image on the first device.

Abstract: A computer-implemented method for intelligent chat governance, is provided. The computer-implemented method includes analyzing an incoming message based on relationship between a plurality of users, content of the incoming message, and metadata of the incoming message. The computer-implemented method further includes calculating a plurality of prioritization metrics of the incoming message based on a comparison of the analyzed message to a knowledge base, wherein the knowledge base includes behavioral tendencies of users of the incoming message, patterns of interaction of the users, and situational awareness of the users. The computer-implemented method further includes the transmitting the incoming message to a client interface of, in response to a determination that at least one of the plurality of prioritization metrics are greater than a threshold level.

Abstract: A method, system, and computer program product for dynamic password-less user verification in a mobile device are provided in the illustrative embodiments. Using a processor and a memory in the mobile device, a first portion of a call log stored in the mobile device is selected. Using a transformation function, a first transformed value corresponding to the first portion is obtained. A second portion of a call log stored in a repository of a service provider is obtained from the service provider, the service provider facilitating voice communications from the mobile device, and the second portion corresponding to the first portion. Using the transformation function, a second transformed value corresponding to the second portion is obtained. Responsive to the first transformed value matching the second transformed value within a tolerance limit, a conclusion is generated that the user verification is successful.

Abstract: A method, system, and computer program product for dynamic password-less user verification in a mobile device are provided in the illustrative embodiments. Using a processor and a memory in the mobile device, a first portion of a call log stored in the mobile device is selected. Using a transformation function, a first transformed value corresponding to the first portion is obtained. A second portion of a call log stored in a repository of a service provider is obtained from the service provider, the service provider facilitating voice communications from the mobile device, and the second portion corresponding to the first portion. Using the transformation function, a second transformed value corresponding to the second portion is obtained. Responsive to the first transformed value matching the second transformed value within a tolerance limit, a conclusion is generated that the user verification is successful.

Abstract: A mechanism is provided for improving customer satisfaction. Natural language processing (NLP) is utilized to identify information from a customer ticket that addresses a customer issue thereby forming one or more pieces of NLP identified information. Each piece of NLP identified information is analyzed to identify one or more responsible parties responsible for delays in addressing the customer issue. Responsive to identifying at least one responsible party responsible for at least one delay in addressing the customer issue, an indication flag is created for the responsible party. A notification of the at least one responsible party responsible for the at least one delay in addressing the customer issue is then sent.