Abstract: A Virtual agent that is a fully automated computer software solution that can engage with real people, customers, clients and even other agents. Virtual agents have personality with animation and engage with the customer via text or voice or a combination of both as an actual person. Virtual agents are able to answer customer questions and provide information to address their issues. Virtual agents transfer calls to live agents if they cannot address customer issues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: Methods, systems and computer program products are provided for prefetching based on historical use and real-time signals. Forecast models may be configured to forecast whether to prefetch information (e.g. keys responsive to queries) for future time intervals based on historical use and internal or external signals that may influence forecasts, such as prevailing conditions. Historical use of keys may be analyzed for patterns and trends with multiple seasonalities per category and/or per key. Time series data and forecasts may be indexed by cache categories and time intervals. Forecast models may be trainable, optimizable, configurable and/or auto-correcting on a per-category and/or a per-key basis. Forecast precision indicators, confidence indicators and configurable thresholds may be used to optimize performance. Operations may be distributed among multiple servers. Tasks may be time-distributed by offsets. Cached information may be assigned a time to live (TTL) independent of other cached information.

Abstract: The invention relates to a device for supporting the testing of a brachytherapy applicator prior to the use of the brachytherapy applicator in brachytherapy radiation treatments. The invention also relates to a method for testing of a brachytherapy applicator prior to the use of the brachytherapy applicator in brachytherapy radiation treatments.

Abstract: Methods and apparatus to adjust vehicle suspension damping are disclosed herein. An example apparatus includes a sensor interface to obtain wheel position information and vehicle speed information from sensors associated with wheels of a vehicle and obtain throttle position information. The apparatus further includes a parameter analyzer to determine a compression damping command based on the wheel position information, the vehicle speed information, and the throttle position information and an instruction generator to adjust a damping system of the vehicle based on the compression damping command.

Abstract: The systems and methods described herein include training a well performance predictor based on field data corresponding to a hydrocarbon field in which a well is to be drilled; generating a number of candidate well parameter combinations for the well and predicting a performance of the well for each candidate well parameter combination using the trained well performance predictor; and determining an optimized well parameter combination for the well such that the predicted performance of the well is maximized.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: In one embodiment, a skill is provided that is installed into voice assistants. The skill incorporates functionality from multiple brands, allowing users to interact with multiple brands using a single skill. The brands may have in common a platform that they already use to provide customer support such as a call center. The platform may leverage existing business processes already used to provide customer support, as well as information associated with the brands from external sources such as customer relationship management platforms, to create skill functionality for each brand.

Abstract: In one embodiment, a skill is provided that is installed into voice assistants. The skill incorporates functionality from multiple brands, allowing users to interact with multiple brands using a single skill. The brands may have in common a platform that they already use to provide customer support such as a call center. The platform may leverage existing business processes already used to provide customer support, as well as information associated with the brands from external sources such as customer relationship management platforms, to create skill functionality for each brand.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: In one embodiment, a skill is provided that is installed into voice assistants. The skill incorporates functionality from multiple brands, allowing users to interact with multiple brands using a single skill. The brands may have in common a platform that they already use to provide customer support such as a call center. The platform may leverage existing business processes already used to provide customer support, as well as information associated with the brands from external sources such as customer relationship management platforms, to create skill functionality for each brand.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.

Abstract: The graphical programming call router features a rich library of powerful and easy-to-use components that administrators can use to seamlessly drop in contact center actions such as data dips, complex interactive voice responses (“IVRs”) and call recordings, among many others. This makes it easy to visualize the exact structure and outcome of any call flow. The graphical programming call router also offers granular queue management functionality so you can get specific around call prioritization, wait time and time-based actions on virtual queues.