Abstract: A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

Abstract: A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

Abstract: A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

Abstract: A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

Abstract: A Modular Architectural Cistern (MAC) may be provided. The cistern may be embodied as slim, vertically ribbed structure. The interior of the structure may be configured to receive, store, and output rainwater. The cistern may comprise slip-fit connection joints configured to allow a plurality of connections to other MACs. Connections with other MACs may increase the rainwater storage volume available to the MAC. Moreover, the MAC may be aesthetically designed so as to accompany various architectural structures without taking away from the aesthetic appeal of the structure.

Abstract: A Modular Architectural Cistern (MAC) may be provided. The cistern may be embodied as slim, vertically ribbed structure. The interior of the structure may be configured to receive, store, and output rainwater. The cistern may comprise slip-fit connection joints configured to allow a plurality of connections to other MACs. Connections with other MACs may increase the rainwater storage volume available to the MAC. Moreover, the MAC may be aesthetically designed so as to accompany various architectural structures without taking away from the aesthetic appeal of the structure.