Abstract: One embodiment provides a method comprising answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot. The bot is configured to engage in a conversation with a caller initiating an incoming phone call utilizing a voice recording that impersonates a human being. The method further comprises recording each conversation the bot engages in, and classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data.

Abstract: One embodiment provides a method comprising receiving a request to release a utility holder detachably mounted to a surface mount. The utility holder maintains a utility payload. A set of rotatable holding brackets is coupled to the surface mount in a pivotable fashion to engage the holding brackets with the utility holder in order to mount the utility holder to the surface mount. The method further comprises, in response to receiving the request, powering on a drone attached to the utility holder, and releasing the utility holder from the surface mount by actuating rotation of the holding brackets to disengage the holding brackets from the utility holder, enabling the drone to transport the utility holder from the surface mount to a desired location.

Abstract: One embodiment provides a method comprising answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot. The bot is configured to engage in a conversation with a caller initiating an incoming phone call utilizing a voice recording that impersonates a human being. The method further comprises recording each conversation the bot engages in, and classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data.

Abstract: One embodiment provides a method for monitoring context-dependent quality of service in a shared computing environment that includes detecting, by a processor, a change in context. Service classes are dynamically assigned to individual users and respective applications within shared computing environment customers based on the change in context. Service level agreement (SLA) statistics for each assigned service class are aggregated and collected.

Abstract: One embodiment provides a method comprising answering one or more incoming phone calls received at one or more pre-specified phone numbers utilizing a bot. The bot is configured to engage in a conversation with a caller initiating an incoming phone call utilizing a voice recording that impersonates a human being. The method further comprises recording each conversation the bot engages in, and classifying each recorded conversation as one of poison data or truthful training data based on content of the recorded conversation and one or more learned detection models for detecting poisoned data.

Abstract: One embodiment provides a method comprising intercepting a voice communication, collecting multi-sensory inputs associated with the voice communication, and determining an overall risk assessment metric for the voice communication based on the multi-sensory inputs and learned signatures. The multi-sensory inputs are indicative of content of the voice communication and one or more contextual factors associated with a target of the voice communication. The overall risk assessment metric indicates a likelihood the voice communication is a scam.

Abstract: One embodiment provides a method comprising intercepting an incoming communication for a user, and determining whether to classify the incoming communication as a suspicious incoming communication based on content of the incoming communication and a learned classification model or learned signatures. The method further comprises monitoring one or more outgoing communications from the user, and invoking an action relating to scam prevention in response to determining an outgoing communication from the user is linked to a suspicious incoming communication.

Abstract: In one embodiment, a computer program product includes a computer readable storage medium having program instructions embodied therewith. The embodied program instructions are executable by a processor to cause the processor to receive, by the processor, a first job request. The embodied program instructions are also executable by the processor to cause the processor to analyze, by the processor, the first job request to determine a user skill level of a user that submitted the first job request. Moreover, the embodied program instructions are executable by the processor to cause the processor to admit, by the processor, the first job request to a data analytics system and/or a data storage system in a specified order with respect to other received job requests based on at least the user skill level of the user that submitted the first job request. Other systems and methods are described in accordance with more embodiments.

Abstract: In one embodiment, a computer program product includes a computer-readable storage medium having program instructions embodied therewith. The embodied program instructions are executable by a processor to cause the processor to receive, by the processor, a first job request, and analyze, by the processor, the first job request to determine: an estimated complexity of the first job request based on one or more attributes of the first job request and a user skill level of a user that submitted the first job request. Moreover, the embodied program instructions are executable by the processor to admit, by the processor, the first job request to a data analytics system and/or a data storage system in a specified order with respect to other received job requests based on at least: the estimated complexity of the first job request, and the user skill level of the user that submitted the first job request.

Abstract: In one embodiment, a computer program product includes a computer readable storage medium having program instructions embodied therewith. The embodied program instructions are executable by a processor to cause the processor to receive, by the processor, a first job request, and analyze, by the processor, the first job request to determine: an estimated complexity of the first job request based on one or more attributes of the first job request and a user skill level of a user that submitted the first job request. Moreover, the embodied program instructions are executable by the processor to admit, by the processor, the first job request to a data analytics system and/or a data storage system in a specified order with respect to other received job requests based on at least: the estimated complexity of the first job request, and the user skill level of the user that submitted the first job request.