Abstract: Various embodiments are provided herein for intelligent, self-learning log configuration generation for a corresponding application in a computing environment. A plurality of input data sources are examined to generate a log profile. The log profile is used to generate one or more cognitive log configurations. Those of a plurality of attributes and fields which are determined useful to be logged before a runtime operation are automatically retrieved. The plurality of attributes and fields are continuously optimized during the runtime operation using a feedback mechanism.

Abstract: Systems and methods for smart sensors are provided. A smart sensor includes: a computer processor; a microphone; and a memory storing a voice control module. The voice control module may be configured to: resolve a first voice command received by the microphone and determine a first identity of a first registered user of a plurality of registered users based on the first voice command. In embodiments, resolving the first voice command includes determining a first instruction. In additional embodiments, the smart sensor may be configured to carry out the first instruction based on first user data associated with the first user.

Abstract: Systems and methods for smart sensors are provided. A smart sensor includes: a case; a power adapter configured to be plugged directly into an electrical outlet; a computer processor; a microphone; a speaker; a camera; at least one sensor; a control switch; a sync button; a USB port; and a memory storing: an operating system; a voice control module; a peer interaction module; a remote interaction module; and a cognitive module. In embodiments, the power adapter includes prongs that extend from a back side of the case, and the microphone, the speaker, the camera, and the at least one sensor are on a front side of the case opposite the back side of the case.

Abstract: Systems and methods for smart sensors are provided. A smart sensor includes: a case; a power adapter configured to be plugged directly into an electrical outlet; a computer processor; a microphone; a speaker; a camera; at least one sensor; a control switch; a sync button; a USB port; and a memory storing: an operating system; a voice control module; a peer interaction module; a remote interaction module; and a cognitive module. In embodiments, the power adapter includes prongs that extend from a back side of the case, and the microphone, the speaker, the camera, and the at least one sensor are on a front side of the case opposite the back side of the case.

Abstract: Systems and methods for smart sensors are provided. A smart sensor includes: a case; a power adapter configured to be plugged directly into an electrical outlet; a computer processor; a microphone; a speaker; a camera; at least one sensor; a control switch; a sync button; a USB port; and a memory storing: an operating system; a voice control module; a peer interaction module; a remote interaction module; and a cognitive module. In embodiments, the power adapter includes prongs that extend from a back side of the case, and the microphone, the speaker, the camera, and the at least one sensor are on a front side of the case opposite the back side of the case.

Abstract: A method, computer program product, and a system where a process(s) generates a data model for a given environment; the model includes a listing of consumable items utilized in the environment and structured and unstructured data sources relevant to the consumable items utilized in the environment. The processor(s) machine learns factors related to supply and demand for the consumable items, based on ingesting structured and unstructured data from the data sources indicated in the data model and extracting occurrences of data representing consumable items coupled with occurrences of the factors. The processor(s) generates correlations quantifiable correlations between factors and consumable items and updates the model with the correlations. The processor(s) obtains, for a future time, a request for replenishment of the consumable items for the environment. The processor(s) uses the model to generate a replenishment plan for the environment for the given time period, based on ranking the consumable items.

Abstract: Systems and methods for smart sensors are provided. A smart sensor includes: a case; a power adapter configured to be plugged directly into an electrical outlet; a computer processor; a microphone; a speaker; a camera; at least one sensor; a control switch; a sync button; a USB port; and a memory storing: an operating system; a voice control module; a peer interaction module; a remote interaction module; and a cognitive module. In embodiments, the power adapter includes prongs that extend from a back side of the case, and the microphone, the speaker, the camera, and the at least one sensor are on a front side of the case opposite the back side of the case.