Abstract: An asset management system that includes a field asset management system; a maintenance management system; and a digital avatar associated with a specific asset. The digital avatar has an automatic Model that is customized for the associated asset. The digital avatar automatically receives information from at least one of the field asset management system or maintenance management system as information associated with the asset is entered into the at least one of the field asset management system or maintenance management system. The automatic Model automatically runs with the new information and provides a new operating parameter for use by at least the field asset management system.

Abstract: An asset management system that includes a field asset management system; a maintenance management system; and a digital avatar associated with a specific asset. The digital avatar has an automatic Model that is customized for the associated asset. The digital avatar automatically receives information from at least one of the field asset management system or maintenance management system as information associated with the asset is entered into the at least one of the field asset management system or maintenance management system. The automatic Model automatically runs with the new information and provides a new operating parameter for use by at least the field asset management system.

Abstract: A network-connected predictive modeling computer comprising at least a memory and a processor and further comprising programmable instructions stored in the memory and operating on the processor, the instructions adapted to a system for predicting events, outcomes, locations, items and more, across a broad variety of applications. A preferred embodiment of the invention interfaces to a plurality of user devices associated to a plurality of Subject Matter Experts (SME) as input to compute automatic predictive intelligence models. In a preferred embodiment of the invention a combination of subject matter expertise and insight are combined by a plurality of computing devices with raw or machine-learned data to create a predictive intelligence model that exceeds accuracy and confidence in results that may be achieved by individual participants or by computation alone.

Abstract: A network-connected predictive modeling computer comprising at least a memory and a processor and further comprising programmable instructions stored in the memory and operating on the processor, the instructions adapted to a system for predicting events, outcomes, locations, items and more, across a broad variety of applications. A preferred embodiment of the invention interfaces to a plurality of user devices associated to a plurality of Subject Matter Experts (SME) as input to compute automatic predictive intelligence models. In a preferred embodiment of the invention a combination of subject matter expertise and insight are combined by a plurality of computing devices with raw or machine-learned data to create a predictive intelligence model that exceeds accuracy and confidence in results that may be achieved by individual participants or by computation alone.

Abstract: Provided is a system for mounting signs, the system having: a mounting block with a sign interfacing boss configured to be received into an aperture in a fence having an anterior surface and posterior rim; the anterior surface being configured to be attached to a sign; and a flange disposed about the posterior rim.