Abstract: The amount and variety of data being generated is becoming too extreme for many computing systems to process, and is even more difficult for information systems to provide relevant data to users. A distributed computing system is provided that includes server machines that form a data enablement platform. The platform includes: a plurality of data collectors that stream data over a message bus to a streaming analytics and machine learning engine; a data lake and a massive indexing repository for respectively storing and indexing data; a behavioral analytics and machine learning module; and multiple application programming interfaces (APIs) to interact with the data lake and the massive indexing repository, and to interact with multiple applications. The multiple applications are command cards, and each command card includes a directive module, a memory module, search bots, and behavior bots that operate at least within the data enablement platform.

Abstract: The display of digital media content includes graphical user interfaces and predefined data fields that limit interaction between a person and a computing system. An oral communication device and a data enablement platform are provided for ingesting oral conversational data from people, and using machine learning to provide intelligence. At the front end, an oral conversational bot, or chatbot, interacts with a user. The chatbot is specific to a customized digital magazine, which both evolve over time to a user for a given topic. On the backend, the data enablement platform has a computing architecture that ingests data from various external data sources as well as data from internal applications and databases. These data and algorithms are applied to surface new data, identify trends, provide recommendations, infer new understanding, predict actions and events, and automatically act on this computed information. The chatbot then reads out the content to the user.

Abstract: The amount and variety of data being generated is becoming too extreme for many computing systems to process, and is even more difficult for information systems to provide relevant data to users. A distributed computing system is provided that includes server machines that form a data enablement platform. The platform includes: a plurality of data collectors that stream data over a message bus to a streaming analytics and machine learning engine; a data lake and a massive indexing repository for respectively storing and indexing data; a behavioral analytics and machine learning module; and multiple application programming interfaces (APIs) to interact with the data lake and the massive indexing repository, and to interact with multiple applications. The multiple applications are command cards, and each command card includes a directive module, a memory module, search bots, and behavior bots that operate at least within the data enablement platform.

Abstract: Typical graphical user interfaces and predefined data fields limit the interaction between a person and a computing system. An oral communication device and a data enablement platform are provided for ingesting oral conversational data from people, and using machine learning to provide intelligence. At the front end, an oral conversational bot, or chatbot, interacts with a user. On the backend, the data enablement platform has a computing architecture that ingests data from various external data sources as well as data from internal applications and databases. These data and algorithms are applied to surface new data, identify trends, provide recommendations, infer new understanding, predict actions and events, and automatically act on this computed information. The chatbot then provides audio data that reflects the information computed by the data enablement platform. The system and the devices, for example, are adaptable to various industries.

Abstract: A system and methods are provided that can make distributed and autonomous decision science based recommendations, decisions, and actions that increasingly become smarter and faster over time. The system can comprise intelligent computing devices and components (i.e., Intelligent Endpoint Systems) at the edge or endpoints of the network (e.g., user devices or IoT devices). Each of these Intelligent Endpoint Systems can optionally have the ability to transmit and receive new data or decision science, software, data, and metadata to other intelligent devices and third party components and devices so that data or decision science, whether real-time or near real-time, batch, or manual processing, can be updated and data or decision science driven queries, recommendations and autonomous actions can be broadcasted to other Intelligent Endpoint Systems and third party systems in real-time or near real-time.

Abstract: Systems and methods are provided for data security. A server system provides data security using one or more processor devices, one or more communication interfaces, and one or more memory devices including computer-executable instructions. Those instructions case the one or more processor devices to: monitor one or more requests or activities of a computing device and compare the monitored one or more requests or activities with a database of predetermined characteristics to determine whether the monitored one or more requests or activities indicates that the computing device (i) accessed or attempted to access sequentially more than A data files or objects in less than a predetermined period of time, where A is a positive integer greater than two, and (ii) downloaded X data files or objects, where X is a positive integer greater than two.

Abstract: In a server system providing data security, a processor monitors requests or activities of a computing device and compares the monitored requests or activities with a database of predetermined characteristics to determine whether the monitored requests or activities indicates that the computing device (i) accessed or attempted to access sequentially more than a predetermined number of data files or objects in less than a predetermined period of time, and (ii) downloaded a predetermined number of data files or objects. The monitored requests or activities is determined suspicious when the comparing determines that (i) and (ii) are true, which causes a response to hinder the monitored requests or activities.

Abstract: Techniques are provided for integrated and comprehensive advertising campaign management and optimization. Techniques are provided in which advertisers, including large-budget advertisers such as Chief Marketing Officers, can easily, efficiently and optimally define, manage and implement advertising budgets and campaigns, from high to granular levels, across a variety of online and offline channels. Such channels can include Web, mobile, social networking, etc., as well as traditional advertising channels such as TV, radio, etc. Techniques are provided, for example, in which advertisers, with a single click or selection, can cause implementation of a customized, optimized and comprehensive online and offline advertising campaign.

Abstract: The present invention provides methods and systems for use in advertising campaigns and advertisement targeting. Techniques are provided in which streams of data, including communications data, are sampled, such as during transmission to intended recipients. Sampled data may be analyzed and used to determine topics of interest. Sampled data may be analyzed or filtered to determine data suspected of being of particular significance or relevance in determining topics of interest. Determined topics of interest may be used in advertisement targeting as part of an advertising campaign.

Abstract: The present invention provides methods and systems for use in advertising campaigns and advertisement targeting. Techniques are provided in which streams of data, including communications data, are sampled, such as during transmission to intended recipients. Sampled data may be analyzed and used to determine topics of interest. Sampled data may be analyzed or filtered to determine data suspected of being of particular significance or relevance in determining topics of interest. Determined topics of interest may be used in advertisement targeting as part of an advertising campaign.

Abstract: Systems and methods are provided for data security. A server system provides data security using one or more processor devices, one or more communication interfaces, and one or more memory devices including computer-executable instructions. Those instructions case the one or more processor devices to: monitor one or more requests or activities of a computing device and compare the monitored one or more requests or activities with a database of predetermined characteristics to determine whether the monitored one or more requests or activities indicates that the computing device (i) accessed or attempted to access sequentially more than A data files or objects in less than a predetermined period of time, where A is a positive integer greater than two, and (ii) downloaded X data files or objects, where X is a positive integer greater than two.

Abstract: Systems and methods are provided for active continuous data security. An active receiver module, an active marker module, an active transmitter module and an active profiler module work together to monitor data requests, detect suspicious activity and characteristics, and responds to hinder the suspicious activity. A method includes: obtaining a request for data; obtaining a characteristic associated with the request for data; comparing the characteristic with a database of known patterns and characteristics to determine if the request is suspicious; storing the request and the characteristic in the database for future comparison; and initiating a response to hinder the request for the data when the request is determined to be suspicious. Markers embedded in data are used to track the data, including data that is exposed to a security risk. Pattern detection is used to uncover suspicious activity and the systems are able self-learn as more data is provided.

Abstract: A system and a method are provided for continuously analysing and procuring advertisements. Social data is obtained and is used to identify one or more relationships. The operations further include: modifying or determining a target set based on the one or more relationships, the target set comprising a combination of inputs and a target audience, the inputs comprising a search algorithm for identifying the target audience; presenting the target set when a proposed advertising campaign is detected; procuring the proposed advertising campaign using the target audience to generate a procured advertisement; obtaining feedback about the procured advertisement; and further modifying the target set based on the feedback.

Abstract: Systems and methods are provided for active continuous data security. An active receiver module, an active marker module, an active transmitter module and an active profiler module work together to monitor data requests, detect suspicious activity and characteristics, and responds to hinder the suspicious activity. A method includes: obtaining a request for data; obtaining a characteristic associated with the request for data; comparing the characteristic with a database of known patterns and characteristics to determine if the request is suspicious; storing the request and the characteristic in the database for future comparison; and initiating a response to hinder the request for the data when the request is determined to be suspicious. Markers embedded in data are used to track the data, including data that is exposed to a security risk. Pattern detection is used to uncover suspicious activity and the systems are able self-learn as more data is provided.

Abstract: A system and method are provided for obtaining and analysing social data. The obtained social data and the determined relationships can be used to compose new social data and determine transmission parameters of the new social data. A method performed by a computing device or server system includes obtaining social data from one or more data streams, filtering the social data to obtain filtered social data, analysing the filtered social data to determine one or more relationships, and outputting the filtered social data and the one or more relationships in association with each other.

Abstract: A system and method are provided for analysing and communicating social data. A method performed by a computing device or server system includes obtaining social data and deriving at least two concepts from the social data. A relationship between the at least two concepts is determined. The method also includes composing a new social data object using the relationship and transmitting the new social data object. User feedback associated with new social data object is obtained, and the computing device or server system computes an adjustment command using the user feedback. Executing the adjustment command adjusts a parameter used in the method. After the adjustment command is executed, the method is repeated.

Abstract: There is provided a system and method for transmitting social communication data across at least one social communication channel. The method is performed by a computing device for communicating social data, comprising: receiving a composed social data object; integrating at least one tracker object within the social data object; transmitting the social data object comprising said tracker object to at least one destination target; obtaining a response from said tracker object indicating target feedback, wherein the target feedback indicates at least one of: subsequent transmission of the social data object to additional destination targets and feedback parameters from at least one of: said at least one destination target and said additional destination targets.

Abstract: A system and method are provided for analysing and communicating social data. A method performed by a computing device or server system includes obtaining the social data from one or more sources. The method includes composing a new social data object derived from the social data and transmitting the new social data object. The method also includes obtaining at least one feedback associated with the new social data object that is transmitted and computing an adjustment command using said feedback. Accordingly, executing the adjustment command adjusts at least one of steps of obtaining, composing, and transmitting for subsequent social data objects in dependence upon said feedback.

Abstract: A system and method are provided for analysing and communicating social data. A method performed by a computing device or server system includes obtaining social data and deriving at least two concepts from the social data. A relationship between the at least two concepts is determined. The method also includes composing a new social data object using the relationship and transmitting the new social data object. User feedback associated with new social data object is obtained, and the computing device or server system computes an adjustment command using the user feedback. Executing the adjustment command adjusts a parameter used in the method. After the adjustment command is executed, the method is repeated.

Abstract: The disclosure provides methods and systems for use in real time advertising campaigns and advertisement targeting. The systems sample streams of electronic data in real time. Sampled data may be analyzed and used to determine topics of interest. Sampled data may be analyzed or filtered to determine targeting data that includes a targeting keyword and a targeting user character. The systems may then launch a real time advertising campaign using the targeting data.