Abstract: A method, apparatus and system for creating an asset reliability model for at least one physical asset includes receiving data related to the at least one physical asset from at least a selection of at least one data source from which to receive the data related to the at least one physical asset, receiving a selection of at least one type of model to be created, receiving a respective response to at least one guided task or choice configured to prepare the received data, and creating an asset reliability model for the at least one physical asset using a machine learning process based on the received data related to the at least one physical asset, the selection of the model to be created, and the respective response to the at least one guided task or choice.

Abstract: A method, apparatus and system for portfolio performance prediction of a portfolio of projects include receiving information regarding at least start date delays, duration increases and cost overruns for at least one project of the portfolio of projects, determining at least one cluster for the at least one project from the received information regarding at least the start date delays, duration increases and cost overruns for the at least one project of the portfolio of projects, creating a statistical representation for each of the clusters of the at least one project of the portfolio, and predicting a performance of the portfolio of projects using information regarding the statistical representation of the clusters of the at least one project of the portfolio of projects.