Abstract: A method and system for dynamically visualizing a user experience, can involve tracking data indicative of an interaction and a journey taken by a customer and an agent, and selectively rendering a visualization of the interaction and the journey taken by the customer and the agent to aid in a faster resolution of an issue experienced by the customer. In addition, deviant states and routes can be identified within the data indicative of interactions and journeys taken by the customer and the agent.

Abstract: Methods and systems for personalized trust recommendation based on a dynamic trust model. In an example embodiment, a trust framework can be derived from a set of use-case specific factors. Invasive data and non-invasive data can be collected from a user (or a group of users) based on activity data and profile data associated with the user. A dynamic trust profile can be created (or learned) based on the invasive data and the non-invasive data collected from the user. A recommended level of trustworthiness can be then provided to the user respect to a particular situation and/or entity (e.g. other users) within the trust framework based on the dynamic trust profile of the user and which is personalized for the user.

Abstract: A method of selecting an intervention includes, based on user content submitted to a platform, determining whether the content includes objectionable content. Based on the objectionable content, a content persona classification is associated with the objectionable content. Based on the content persona classification, an intervention is selected. The objectionable content may include, for example, content that has one or more characterizations as: subjective, misaligned, trigger, misguided, expressive, non-owner, offensive, prohibited, trigger product, trigger description, expired/invalid, and/or otherwise objectionable.

Abstract: A method and system for dynamically visualizing a user experience, can involve tracking data indicative of an interaction and a journey taken by a customer and an agent, and selectively rendering a visualization of the interaction and the journey taken by the customer and the agent to aid in a faster resolution of an issue experienced by the customer. In addition, deviant states and routes can be identified within the data indicative of interactions and journeys taken by the customer and the agent.

Abstract: A method and system for visualizing a distributed ledger data structure and business and network transactions thereof can include identifying business transactions and assets in ledger data contained in a ledger data structure, and translating the identified business transactions and the identified assets into visual elements that can visually represent asset states in a process involving the ledger data structure and transactions thereof.

Abstract: Methods and systems for personalized trust recommendation based on a dynamic trust model. In an example embodiment, a trust framework can be derived from a set of use-case specific factors. Invasive data and non-invasive data can be collected from a user (or a group of users) based on activity data and profile data associated with the user. A dynamic trust profile can be created (or learned) based on the invasive data and the non-invasive data collected from the user. A recommended level of trustworthiness can be then provided to the user respect to a particular situation and/or entity (e.g. other users) within the trust framework based on the dynamic trust profile of the user and which is personalized for the user.