Abstract: A method and system may automatically detect failures and pre-schedule repairs for home equipment in a smart home environment when the property owner is away from the property. A smart home controller may receive sensor data from each of several pieces of home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of home equipment based on the sensor data, the smart home controller may communicate with a repair service provider to pre-schedule a repair of the piece of home equipment which experiences the failure. The repair service provider may then transmit a pre-scheduled time and cost for performing the repair and may perform the repair at the scheduled time.

Abstract: Embodiments disclosed herein can leverage dynamic data, fields and implied information from online media (e.g., web sites, mobile apps and other forms of online media) to create a universal variable map and automatically generate deep-linked ads utilizing the universal variable map, linking any arbitrary online media to any other arbitrary online media. The automatically generated deep-linked ads can be inserted into any ad server and served out from there in real-time. A deep-linked ad thus presented to a user can take the user from a starting page on one site or application where the ad is displayed directly to a resulting page such as a checkout page on another site or mobile application, with pertinent information already pre-populated, and action already initiated for the user.

Abstract: A computer program product for a micro commerce ad includes displaying an advertisement in a banner ad. The banner ad includes characteristics conforming to banner ad market standards. The banner ad is configured to display in a banner ad slot of a publisher webpage. The computer program product includes receiving visitor input within the banner ad from a visitor. The computer program product includes performing a transaction within the banner ad to process the visitor input.

Abstract: The embodiments include a data processing apparatus for conducting a business impact analysis for a service oriented architecture (SOA) that includes a plurality of processes and services. The data processing apparatus may include a process table generator configured to generate a first impact table for a first process and a second impact table for a second process, and a service table generator configured to generate a service impact table for a top-level service, a dependency model generator configured to generate a dependency model arranging the plurality of services with dependency links, an analysis model generator configured to generate a BEAM based on the service impact table, the dependency model and a selected service level agreement, a simulator configured to simulate the BEAM over a period of time, and a service level agreement classifier configured to classify the selected service level agreement based on one or more violations.

Abstract: A method and apparatus is provided that includes techniques for providing complete solutions for role-based, rules-driven active policy enforcement. An embodiment addresses blended risk assessment and security across logical systems, IT applications, databases, physical systems, and operational systems in the context of threat and fraud detection, risk analysis and remediation, compliance checks and continuous monitoring. Further, an embodiment provides ability to embed and enforce active policy enforcement in particular processes.

Abstract: Disclosed are methods and systems for implementing extensibility in sales prediction engines. An extensibility framework may be used to modify the metadata schema of the data used by the sales prediction engine to account for extended attributes and entities. The sales prediction engine is also modified to recognize the extended attributes and entities so that a user will be able to create new rules and train new models based on the extended attributes and entities.