Abstract: According to one embodiment, a method, computer system, and computer program product for evaluating a data request is provided. The embodiment may include receiving a request to share data of a user during an interaction between an intelligent virtual assistant (IVA) representing the user and a requesting entity. The request is sent from the requesting entity to the IVA. The embodiment may include calculating an overall data sharing confidence score based on an evaluation of the request. The embodiment may include determining whether the overall data sharing confidence score is above a data sharing threshold value. In response to determining that the overall data sharing confidence score is above the data sharing threshold value, the embodiment may include instructing the IVA to share the data of the user with the requesting entity.

Abstract: Embodiments are disclosed for a method. The method includes determining a context of a data access request for a data virtualization engine. The method also includes determining data sources that are relevant to the data access request by using a governance machine learning model trained to predict the data sources based on the request and the context. Additionally, the method includes determining data governance rules-policies that are relevant to the request, by using the governance machine learning model, further trained to predict the data governance rules-policies based on the data sources and the context. Further, the method includes generating, by using a query machine learning model, a data access command executable by the data virtualization engine and configured to retrieve data from the data sources and apply the data governance rules-policies.

Abstract: Embodiments are disclosed for a method. The method includes determining a context of a data access request for a data virtualization engine. The method also includes determining data sources that are relevant to the data access request by using a governance machine learning model trained to predict the data sources based on the request and the context. Additionally, the method includes determining data governance rules-policies that are relevant to the request, by using the governance machine learning model, further trained to predict the data governance rules-policies based on the data sources and the context. Further, the method includes generating, by using a query machine learning model, a data access command executable by the data virtualization engine and configured to retrieve data from the data sources and apply the data governance rules-policies.

Abstract: Two compressors are connected in tandem for an air conditioning system. A control board that includes a microcontroller controls the operation of the system in response to the energization of first and second stage terminals of a thermostat. The system includes anti-short cycling and eliminating operation of crankcase heaters during a time period following the shutting off of the compressors.