In one embodiment, a method is illustrated as including defining a set of perspective objects capable of being placed onto a modified web page, monitoring parameters of a web page, the parameters including a number of times a current object is executed on the web page, using an Artificial Intelligence (AI) algorithm to determine a perspective object with a preferred Return On Investment (ROI), and selecting the perspective object to be placed onto the modified web page.

A data analytics system may include a first risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a first risk relationship provider. Similarly, a second risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a second risk relationship provider. A back-end application computer server may include a data mining engine that analyzes a set of electronic records in the first and second risk relationship data stores to identify flags corresponding to risk drivers. A predictive analytics engine may then calculate a risk score associated with the set of electronic records based on the associated entity attribute values and the identified flags corresponding to risk drivers. An insight platform may automatically generate a recommended action for the enterprise to lower the calculated risk score.

A system and method for crop management uses data of specific varieties, such as the effect of growing degree units (GDU) on the phenological stage and optimal soil moisture percentage (SMP) to predict crop growth, to water the crops, and to manage agricultural systems by suggesting planting dates required to meet harvest goals. For plants growing in irrigation tracts, the system and method may use soil moisture sensors and the phenological stage information to provide water to the plants. In other embodiments, predictions are made of harvest dates for planted varieties and/or planting dates to reach harvest goals. The effect of mulching may be taken into account.

A multi-year yield analysis in precision agriculture characterizes variables affecting crop yield to enable site-specific prescription mapping for a bounded field. Remotely-sensed imagery of the bounded field is incorporated as a replacement for, or in addition to, one or more of coverage data, uniformity data, age data, and weather data that comprise variables in the multi-year yield analysis. The multi-year yield analysis enables recommendations for variable-rate applications to the bounded field such as seeding, fertilizing, and applying crop treatments.

The present invention provides a carbon value assessment (“carbon valuation”) system, which includes an information processing device that evaluates an amount of greenhouse gas (“GHG”) reduction expected to occur by a technology project in a currency value, on the basis of: estimated reduction of greenhouse gas (“estimated GHG reduction amount”) which is an amount of GHG reduction presumed to be induced by the technology project that is a target to be assessed; a calculation period of the GHG reduction during which the GHG reduction occurs due to the technology project; a discount rate that quantifies possible risks occurring in the technology project; and an emission permit price.

A dashboard having a plurality of selectable hierarchical dashboard levels is displayed, where a higher dashboard level of the dashboard displays a Key Performance Indicator (KPI) that represents an aggregation of a plurality of related KPI's at a next lower dashboard level. The dashboard displays service cases that are related to one or more of the building system components of the building. The service cases displayed at the next lower dashboard level are identified as having a negative impact on at least one of the plurality of related KPI's displayed at the next lower dashboard level and the service cases displayed on the higher dashboard level represent an aggregation of the service cases displayed at the next lower dashboard level.

Systems and methods for improving recordkeeping and analysis of an asset include creating and maintaining an integrated record about the asset. In some embodiments, the systems and methods include collecting data about an asset to form an asset data collection, recording the asset data collection in a record, analyzing at least a portion of the asset data collection to determine a characteristic of the asset, and recording the characteristic of the asset in the record. In some embodiments, recording the characteristic in the record includes adding the characteristic to the asset data collection.

An information-technology-utilization evaluation device evaluates the degree of utilization of information technology in process management targeted at a managed process that is a set of unit processes. The information-technology-utilization evaluation device includes a first determination unit to evaluate an achievement status of automation of the process management through utilization of the information technology to determine a maturity level of the automation in the managed process and a maturity level of the automation in the unit processes.

Disclosed herein is a system and method to any two or more MLMs to be merged into a multiline MLM system despite having different commission structures. Each member of the original MLMs is able to maintain their existing downlines without any changes. Further the existing MLM members have full access to the multi-line MLM commission structure, for example, a member of a binary MLM may now add a 3rd, 4th, 5th, etc. line if they choose. The multiline commission plan will be different than the commission plans from any of the original MLMs but this change should not affect the income of a large portion of users, and users that are affected by the changeover can be compensated or made whole on an individual level. In addition to this multiline commission plan, the commission structure of the original MLMs has been broken into several separate ‘types’ which together form a MLM system. These ‘types’ include the income received from downline commission based on position and the income received based on enrolling a member in the MLM, also known as sponsorship. These commission structures may be maintained after the merger for each specific MLM that was merged. This way members of the multiline MLM have access to both their original downlines and commission plan while still being able to take advantage of the features and commission plan of the multiline MLM.

Using digital unstructured text concerning entities to generate a prediction of a risk of a change in state of one of the entities. One method comprises compiling a training dataset from distinct sets of unstructured digitally stored electronic text documents; training machine learning classifiers using the training dataset, the machine learning classifiers comprising a tree-based random forest model and a generalized linear model corresponding to each of the distinct sets, each of the machine learning classifiers being configured to classify documents based upon digital features and to output a prediction value; obtaining an evaluation dataset comprising other unstructured electronic text documents that are not in the training dataset; executing the machine learning classifiers thereby outputting individual classification outputs, which can be blended to form a final risk index score value; generating user interface presentation instructions to display visualizations of the classification outputs and/or the final risk index score value.