Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to detect drift in a hybrid cloud environment. An example apparatus to detect drift in a hybrid cloud environment includes a configuration model determiner to, after deployment of a blueprint in the hybrid cloud environment, generate a first model including first relationships of a first plurality of resources corresponding to the blueprint, the blueprint including a plurality of properties in which at least one of the plurality of properties is agnostic of type of cloud, an inventor model determiner to generate a second model including second relationships of a second plurality of resources as deployed in the hybrid cloud environment based on the blueprint, and a drift determiner to determine a drift value based on the first relationships and the second relationships, the drift value representative of a difference between the first relationships and the second relationships.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.