Abstract: When a restart event is detected within a technology landscape, restart-impacted performance metrics and non-restart-impacted performance metrics may be identified. The non-restart-impacted performance metrics may continue to be included within a performance characterization of the technology landscape. The restart-impacted performance metrics may be monitored, while being excluded from the performance characterization. The restart-impacted performance metric of the restart-impacted performance metrics may be transitioned to a non-restart-impacted performance metric, based on a monitored value of the restart-impacted performance metric following the restart event.

Abstract: There is herein provided a compound of formula I or a pharmaceutically acceptable salt thereof, for use in the treatment of cancer and/or the treatment or prevention of a viral infection, wherein A1, A2, L1, R1, R2 and n have meanings as provided in the description.

Abstract: When a restart event is detected within a technology landscape, restart-impacted performance metrics and non-restart-impacted performance metrics may be identified. The non-restart-impacted performance metrics may continue to be included within a performance characterization of the technology landscape. The restart-impacted performance metrics may be monitored, while being excluded from the performance characterization. The restart-impacted performance metric of the restart-impacted performance metrics may be transitioned to a non-restart-impacted performance metric, based on a monitored value of the restart-impacted performance metric following the restart event.

Abstract: When a restart event is detected within a technology landscape, restart-impacted performance metrics and non-restart-impacted performance metrics may be identified. The non-restart-impacted performance metrics may continue to be included within a performance characterization of the technology landscape. The restart-impacted performance metrics may be monitored, while being excluded from the performance characterization. The restart-impacted performance metric of the restart-impacted performance metrics may be transitioned to a non-restart-impacted performance metric, based on a monitored value of the restart-impacted performance metric following the restart event.

Abstract: A technology landscape may be characterized using a performance characterization that includes scores assigned to performance metrics for the technology landscape and using at least one trained machine learning model. In response to a detected calibration trigger, a calibratable performance metric of the performance metrics may be determined. A relationship may be determined between conforming values of the calibratable performance metric during a conforming period for which the at least one trained machine learning model was trained, and non-conforming values of the calibratable performance metric occurring during a calibration period initiated by the calibration trigger. In this way, a score assigned to the calibratable performance metric may be calibrated, based on the relationship.

Abstract: When a restart event is detected within a technology landscape, restart-impacted performance metrics and non-restart-impacted performance metrics may be identified. The non-restart-impacted performance metrics may continue to be included within a performance characterization of the technology landscape. The restart-impacted performance metrics may be monitored, while being excluded from the performance characterization. The restart-impacted performance metric of the restart-impacted performance metrics may be transitioned to a non-restart-impacted performance metric, based on a monitored value of the restart-impacted performance metric following the restart event.

Abstract: A data stream of performance metrics characterizing a technology landscape may be received. From a plurality of performance prediction models and based on the performance metrics, a subset of performance prediction models may be selected. The subset of performance prediction models may be combined into a composite prediction model. The composite prediction model may be loaded into a model processor for scoring against the data stream of performance metrics to obtain a performance prediction for the technology landscape based thereon.

Abstract: There is herein provided a compound of formula I or a pharmaceutically acceptable salt thereof, for use in the treatment of cancer and/or the treatment or prevention of a viral infection, wherein A1, A2, L1, R1, R2 and n have meanings as provided in the description.

Abstract: There is herein provided a compound of formula I (I) or a pharmaceutically acceptable salt thereof, for use in the treatment of cancer and/or the treatment or prevention of a viral infection, wherein A1, A2, L1, R1, R2 and n have meanings as provided in the description.

Abstract: There is herein provided a compound of formula I (I) or a pharmaceutically acceptable salt thereof, for use in the treatment of cancer and/or the treatment or prevention of a viral infection, wherein A1, A2, L1, R1, R2 and n have meanings as provided in the description.