Abstract: A system may include a processing resource, and a computing device comprising instructions executable to: extract data from objects in a digital image of a physical environment; utilize the extracted data to identify information about a task to be performed by an operator at the physical environment; and select, based on a characteristic of the operator, a portion of the identified information about the task to include in a visual overlay to be displayed to the operator at the physical environment.

Abstract: An example apparatus includes: a communication interface to communicate with a camera and a printer; and a processor connected to the communication interface and a memory storing rules of an event that relies on printed materials, the processor to execute instructions stored in the memory. The instructions are to: monitor, using the camera, a live instance of the event that relies on the printed materials; determine, from images acquired by the camera, that a sequence of the printed materials used in the event by participants meets a threshold condition that conforms to the rules of the event; and, in response, control the printer to print additional printed material that conforms to the rules of the event, as stored in the memory, the additional printed material used to alter the event according to the rules, the additional printed material unassigned to any of the participants in the event.

Abstract: Example implementations relate to a computing device comprising a processing resource and a memory resource to store instructions executable by the processing resource. In some examples, the processing resource can execute instructions to determine that an introduction has occurred between a first party and a second party based on discoverability preferences of the first party. Responsive to the introduction having occurred and based on the discoverability preferences, the processing resource can execute instructions to broadcast contact data related to the first party. Responsive to the introduction having occurred and based on the discoverability preferences, the processing resource can execute instructions to receive contact data related to the second party. After receiving the contact data related to the second data, the processing resource can execute instructions to upload the contact data related to the second party to a server for management.

Abstract: A system may include a processing resource, and a computing device comprising instructions executable to: extract data from objects in a digital image of a physical environment; utilize the extracted data to identify information about a task to be performed by an operator at the physical environment; and select, based on a characteristic of the operator, a portion of the identified information about the task to include in a visual overlay to be displayed to the operator at the physical environment.

Abstract: This disclosure generally relates to computer-implemented analytics, and more particularly to systems and methods for improved security and precision in executing analytics using SDKs. In one embodiment, an analytics system is disclosed, comprising: a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: receiving an application programming interface (API) call for a service; parsing the API call to extract an API call name and one or more API call parameters; generating prediction values for one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result.

Abstract: This disclosure generally relates to computer security, and more particularly to methods and systems for application programming interface (API)-level intrusion detection. In some embodiments, a computer-readable medium is disclosed, storing instructions for: receiving an API call for a service at an API sandbox module; parsing the API call to extract at least one of: an API call name; and or one or more API call parameters; generating a copy of the at least one of: the API call name and or the one or more API call parameters; determining, via an intrusion detection rules execution engine, whether the API call violates one or more security rules obtained from a security rules object, using the copy of the at least one of: the API call name and or the one or more API call parameters; and providing an indication of whether the API call violates the one or more security rules.

Abstract: This disclosure generally relates to computer-implemented analytics, and more particularly to systems and methods for improved security and precision in executing analytics using SDKs. In one embodiment, an analytics system is disclosed, comprising: a processor; and a memory device operatively connected to the processor and storing processor-executable instructions for: receiving an application programming interface (API) call for a service; parsing the API call to extract an API call name and one or more API call parameters; generating prediction values for one or more interpreted-data parameters; obtaining one or more analytics rules; performing an analytics operation to generate an analytics result according to the one or more analytics rules based on the generated prediction values for the one or more interpreted-data parameters and the extracted one or more API call parameters; and generating a visual representation of the analytics result.

Abstract: This disclosure generally relates to computer security, and more particularly to methods and systems for application programming interface (API)-level intrusion detection. In some embodiments, a computer-readable medium is disclosed, storing instructions for: receiving an API call for a service at an API sandbox module; parsing the API call to extract at least one of: an API call name; and or one or more API call parameters; generating a copy of the at least one of: the API call name and or the one or more API call parameters; determining, via an intrusion detection rules execution engine, whether the API call violates one or more security rules obtained from a security rules object, using the copy of the at least one of: the API call name and or the one or more API call parameters; and providing an indication of whether the API call violates the one or more security rules.