Abstract: A system and method to establish a no-login authenticated and contextualized two-ways data flow between a medicine user and the pharmaceutical manufacturer. Near Field Communication (NFC) technology, enabling short-range communication between two compatible devices is utilized via a writeable NFC tag carried by a medication package. The writeable NFC tag includes medication information, anti-counterfeiting information, as well as data about the patient and the prescription. The NFC tag may be read by a user device associated with the patient, enabling the user device to merge this data with the patient's feedback, send this rich flow in a secure way to the manufacturer, who in turn is now able to provide rich contextual guidance to the patient.

Abstract: This disclosure provides a method and system to perform data integrity checks in a data warehouse (DWH) feed using machine-learning (ML) processes. According to an exemplary method, a ML integrity check is performed on received data which has been extracted from a plurality of source files, and after ML processes validate the extracted data, the validated data is transformed and loaded to a DWH.

Abstract: A system and method to establish a no-login authenticated and contextualized two-ways data flow between a medicine user and the pharmaceutical manufacturer. Near Field Communication (NFC) technology, enabling short-range communication between two compatible devices is utilized via a writeable NFC tag carried by a medication package. The writeable NFC tag includes medication information, anti-counterfeiting information, as well as data about the patient and the prescription. The NFC tag may be read by a user device associated with the patient, enabling the user device to merge this data with the patient's feedback, send this rich flow in a secure way to the manufacturer, who in turn is now able to provide rich contextual guidance to the patient.

Abstract: This disclosure provides a method and system to perform data integrity checks in a data warehouse (DWH) feed using machine-learning (ML) processes. According to an exemplary method, a ML integrity check is performed on received data which has been extracted from a plurality of source files, and after ML processes validate the extracted data, the validated data is transformed and loaded to a DWH.

Abstract: Methods and systems for managing a metric-based competition in a work environment to increase productivity. Information related to a set of participants in a work environment can be received. One or more interfaces can be generated, which allow participants to input data for use in collaboratively defining key performance indicators associated with a proposed competition and based at least in part on the information related to the participants, so as to increase participant motivation by providing the participants with more agency and choice with respect to competitions in the work environment.

Abstract: This disclosure provides a method and system to promote the reduction of an environmental impact by one or more users of a printing system. According to an exemplary embodiment, a printing system includes a motivational platform and an operatively associated printer driver, the motivational platform recording the historical print activity of a plurality of users associated with a group and communicating the historical print activity to the print driver which is configured to provide an active user recommended selectable printer settings for a print job, prior to being submitted, which are based on best practices within the group.