Abstract: A computing system receives user activity data from a user interacting with content associated with a third party computing system. The computing system generates a profile for the user based on the user activity data. The profile includes tags indicating attributes about the user. The computing system establishes a communication session between the user and the intelligent assistant via a chat interface. The computing system receives a message from the user to the intelligent assistant. The computing system determines that the message includes at least one key word triggering retrieval of relevant content. Based on the determining, the computing system retrieves content that is associated with the key word and relevant to the user based on the tags associated with the user profile. The computing system causes a client device associated with the user to display the content alongside the chat interface.

Abstract: A computing system establishes a dialogue with a candidate computing system via an intelligent assistant. The intelligent assistant of the computing system prompts the candidate computing system for information regarding a job search. The prompting is performed in natural language. The computing system generates a query by applying natural language processing and natural language understanding technology to communications sent by the candidate computing system during the dialogue. The computing system compares the query against a database of job openings. The intelligent assistant of the computing system communicates potential job matches to the candidate computing system via the dialogue based on the comparing.

Abstract: An intelligent assistant of a computing system receives a first message from a first client device. The computing system interfaces with calendar servers associated with electronic calendars associated with the possible attendees to retrieve calendar information for each possible attendee. The computing system analyzes the calendar information to identify a plurality of possible time slots for the calendar event. The computing system prompts the target user to select a time slot by sending the target user a message comprising the plurality of possible time slots. The computing system receives a selection of the time slot from the plurality of possible time slots from the target user via a reply message. The computing system identifies a subset of possible attendees associated with the time slot. The computing system, in real-time, schedules the calendar event comprising the target user and the subset of possible attendees.

Abstract: A computing system receives user activity data from a user interacting with content associated with a third party computing system. The computing system generates a profile for the user based on the user activity data. The profile includes tags indicating attributes about the user. The computing system establishes a communication session between the user and the intelligent assistant via a chat interface. The computing system receives a message from the user to the intelligent assistant. The computing system determines that the message includes at least one key word triggering retrieval of relevant content. Based on the determining, the computing system retrieves content that is associated with the key word and relevant to the user based on the tags associated with the user profile. The computing system causes a client device associated with the user to display the content alongside the chat interface.

Abstract: The present invention relates to systems and methods for the collection and sharing of surveillance data. This includes capturing video and audio data on a device, and providing this data to an operations center for additional analysis and/or sharing with other parties. Those other parties may notably include first responders, judicial entities, and auditing groups. In some cases, such as with first responders, the data may be shared in real time in order to improve operations and safety. The initialization of the data capture may be initiated by a user of the device capturing the data, via a dispatcher request, by request of the first responder, or by a peer device. Additional metadata gained from sensors or video frame signatures may be used for detecting tampering.