Systems and methods relating to a keyboard application on a mobile device are disclosed. The keyboard application generates a search query which it sends to a remote server. Data located based on the search query is received from the remote server. The data is associated with a record comprising a record identifier. The keyboard application associates a GUI element of the keyboard application with the record identifier. An input is received corresponding to selection of the GUI element. A unique tracking link is generated comprising a URI and an identifier associated with the selection of the GUI element. The URI is a deep link into an application that can execute on the mobile device. The unique tracking link is stored in a database in association with the record and user identifier and passed to the application to access content of the application.

Systems and methods are provided for dynamic configuration of interactive controls available on a dashboard. Interactive controls may be dynamically configured by manipulating network resource address information for a network resource that provides a dashboard, for example using query string parameters. For example, a dashboard that displays one type, source, or summary of information can be dynamically configured to allow interactive selection and display of another type, source, or summary of information depending on values passed in the network resource address information for the dashboard network resource.

Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.

In some embodiments, a method receives a connection to a data source. The method analyzes metadata of the data source to determine a first type of metadata for a first type of database access and a second type of metadata for a second type of database access. The first type of metadata and the second type of metadata are combined into a data structure. Then, the method stores the data structure where the data structure is used to analyze a query to determine which of the first type of database access and the second type of database access to use for the query.

Systems and methods are disclosed for flexibly applying a query term to heterogeneous data. A query system can receive a query that includes a data-determinant query term. As the system executes the query it can generate interim search results. As the system query processes the interim search results based on the query, it can apply the data-determinant query term to records of the interims search results based on the structure of the records.

A search interface is displayed in a table format that includes one or more columns, each column including data items of an event attribute, the data items being of a set of events, and a plurality of rows forming cells with the one or more columns, each cell including one or more of the data items of the event attribute of a corresponding column. Based on a user selecting one or more of the cells, a list of options if displayed corresponding to the selection, and one or more commands are added to a search query that corresponds to the set of events, the one or more commands being based on at least an option that is selected from the list of options and the event attribute for each of the one or more of the data items of each of the selected one or more cells.

A method of identifying relationships between data collections is disclosed. Each data collection comprises a plurality of data records made up of data fields. The method comprises performing a relationship search process based on a first seed value and a second seed value. A first set of records from the data collections is identified based on the first seed value. A second set of records from the data collections is identified based on the second seed value. The process then searches for a common value across the first and second record sets, wherein the common value is a value which appears in a first field in a first record of the first record set and in a second field in a second record of the second record set, wherein the first record is from a first data collection and the second record is from a second data collection. In response to identifying the common value, an indication is output identifying a candidate relationship between the first field of the first data collection and the second field of the second data collection.

The present disclosure relates to methods and systems for querying data in a data repository. According to a first aspect, this disclosure describes a method of querying a database, comprising: receiving, at a computing device, a plurality of keywords; determining, by the computer device, a plurality of datasets relating to the keywords; identifying, by the computer device, metadata for the plurality of datasets indicating a relationship between the datasets by examining an ontology associated with the datasets; providing, by the computer device, one or more suggested database queries in natural language form, the one or more suggested database queries constructed based on the plurality of keywords and the metadata; receiving, by the computing device, a selection of the one or more suggested database queries; and constructing, by the computer device, an object view for the plurality of datasets based on the selected query and the metadata.

A control system includes an information processing device that communicates with a controller that controls a control target. The controller or the information processing device include a storage device that stores one or more SQL statements to be executed and an execution result the one or more SQL statements in association with each other as log data. The information processing device includes a display controller that displays on a display an SQL statement to be corrected that has an unsuccessful execution result; an operation unit that accepts a correction operation on the SQL statement and an execution operation; and a communication interface that sends an execution instruction to execute the corrected SQL statement to the controller upon receipt of the execution operation and to receive an execution result of the corrected SQL statement from the controller. The display controller displays an execution result of the corrected SQL statement.

The present disclosure relates to systems and methods for an intelligent assistant (e.g., a chatbot) that can be used to enable a user to generate a machine learning system. Techniques can be used to automatically generate a machine learning system to assist a user. In some cases, the user may not be a software developer and may have little or no experience in either machine learning techniques or software programming. In some embodiments, a user can interact with an intelligent assistant. The interaction can be aural, textual, or through a graphical user interface. The chatbot can translate natural language inputs into a structural representation of a machine learning solution using an ontology. In this way, a user can work with artificial intelligence without being a data scientist to develop, train, refine, and compile machine learning models as stand-alone executable code.