Disclosed herein is a method for facilitating generation of real estate descriptions for real estate assets, in accordance with some embodiments. The method may include a step of receiving, using a communication device, real estate information of a real estate asset from a user device, a step of analyzing, using a processing device, the real estate information, a step of generating, using the processing device, a real estate description for the real estate asset using a machine learning model based on the analyzing, a step of receiving, using the communication device, a keyword relevant in a real estate industry from the user device, a step of generating, using the processing device, an optimized real estate description for the real estate asset based on the keyword and the real estate description, and storing, using a storage device, the optimized real estate description.

Embodiments of systems and methods for the rules based distribution of managed content across heterogeneous storage distributed in a network environment are disclosed. In particular, certain embodiments may employ entity rules in association with a content management system. An entity rule may be a rule specifying a set of parameters and a destination secondary storage location. When the entity rule is evaluated by the content system, a set of content managed by the content management system responsive to the rule may be determined using the parameters of the rule. Responsive content can be determined, for example, by searching the content of the content management system based on the parameters. Responsive content may be moved from the primary storage location of the content management system to the secondary storage location specified by the entity rule.

Method, apparatus and computer program product for detecting vulnerability in an industrial control system, predicting maintenance in an industrial control system, and defining authorization rules for peripheral devices based on peripheral device categorization are described herein.

Method, apparatus and computer program product for detecting vulnerability in an industrial control system, predicting maintenance in an industrial control system, and defining authorization rules for peripheral devices based on peripheral device categorization are described herein.

A system and method for chatbot and search engine integration comprising chatbot crawler engine configured to detect all possible paths through a conversational flow between a chatbot and a user, and also comprising a chatbot search integration manager configured to receive a processed conversation flow from the chatbot crawler engine, parse the conversation flow to identify keywords and features, and build an indexable data structure which can be integrated into search engines in order to expose the information and data contained within the chatbot's knowledge base. This integration may allow search engine users to be redirected to a website hosting the chatbot when an indexed data structure comprises information relevant to a search engine query.

Systems and methods for graph embedding already-collected but not yet connected data are disclosed. A method includes extracting a first set of actor-related data, a second set of object-related data, and a third set of temporal data from a set of the already-collected but not yet connected data representative of a unit-level contribution to the target activity. The method further includes generating graph data for at least one graph having a plurality of nodes and a plurality of edges using the set of the already-collected but not yet connected data, where each of the plurality of nodes corresponds to the actor or the object, and where an attribute associated with each of the plurality of edges corresponds to a measurement associated with the target activity during a temporal dimension of interest. The method further includes converting the graph data into metric space data using a graph embedding process.

Systems and methods for graph embedding already-collected but not yet connected data are disclosed. A method includes extracting a first set of actor-related data, a second set of object-related data, and a third set of temporal data from a set of the already-collected but not yet connected data representative of a unit-level contribution to the target activity. The method further includes generating graph data for at least one graph having a plurality of nodes and a plurality of edges using the set of the already-collected but not yet connected data, where each of the plurality of nodes corresponds to the actor or the object, and where an attribute associated with each of the plurality of edges corresponds to a measurement associated with the target activity during a temporal dimension of interest. The method further includes converting the graph data into metric space data using a graph embedding process.

Systems and methods are provided for secure messaging with constrained user actions. An example method includes causing presentation of an interactive user interface, the interactive user interface enabling messaging with end users, each end user being associated with a respective phone number. Selection of a particular end user is received via the interaction user interface and the interactive user interface is updated to include a selectable option which triggers transmission of a standardized consent message to a particular phone number associated with the particular end user. A reply message is received from the particular phone number indicating the affirmative consent. The interactive user interface is updated, with the updated interactive user interface including an input portion configured to receive arbitrary information for transmission to the particular phone number.

Techniques and systems are provided for predicting answers in response to one or more input queries. For instance, text from a corpus of text can be processed by a reader to generate one or multiple question and answer spaces. A question and answer space can include answerable questions and the answers associated with the questions (referred to as “question and answer pairs”). A query defining a question can be received (e.g., from a user input device) and processed by a retriever portion of the system. The retriever portion of the system can retrieve an answer to the question from the one or more pre-constructed question and answer spaces, and/or can determine an answer by comparing one or more answers retrieved from the one or more pre-constructed question and answer spaces to an answer generated by a retriever-reader system.

Techniques and systems are provided for predicting answers in response to one or more input queries. For instance, text from a corpus of text can be processed by a reader to generate one or multiple question and answer spaces. A question and answer space can include answerable questions and the answers associated with the questions (referred to as “question and answer pairs”). A query defining a question can be received (e.g., from a user input device) and processed by a retriever portion of the system. The retriever portion of the system can retrieve an answer to the question from the one or more pre-constructed question and answer spaces, and/or can determine an answer by comparing one or more answers retrieved from the one or more pre-constructed question and answer spaces to an answer generated by a retriever-reader system.