Abstract: In some examples, a method for developing an application programming interface (API) is provided. The method is performed by a computing system running an API Forge Accelerator. The method comprising: receiving, by the API Forge Accelerator, a request for generating an API for a service based on a type of a first gateway, wherein the request indicates a selection of the first gateway among a plurality of gateways integrated with the API Forge Accelerator; generating, by the API Forge Accelerator, based on the specific gateway, a specification template corresponding to the specific gateway for generating the API, wherein the specification template indicates specification information that is used for the API generation; obtaining, by the API Forge Accelerator, based on the specification template, specification information from user input and API tools; and generating, by the API Forge Accelerator, based on the specification information, the API for the service.

Abstract: An intelligent scoring system includes a scorecard tool, a user input device, a memory component, a processor; and machine-readable instructions. The scorecard tool includes a scorecard and a neural network model. The machine-readable instructions stored in the memory component cause the intelligent scoring system to: receive a parameter rating for the scorecard for a first portion of a plurality of business performance parameters; automatically input the parameter rating for the scorecard for a second portion of the plurality of business performance parameters; associate a weighting with each parameter rating; estimate a parameter outcome score for each of the first portion and the second portion of the plurality of business performance parameters based on each parameter rating and weighting; automatically estimate an overall outcome score; and automatically generate a recommendation for improving the level of performance of the business unit.

Abstract: It is provided a method for controlling access to a physical space secured by an electronic lock. The method is performed in an access evaluator and comprises: obtaining one or more input parameters relating to a user requesting access to the restricted physical space; evaluating a first access condition based on a credential presented by the user; evaluating a second access condition using a machine-learning model, based on the one or more input parameters; and unlocking the electronic lock when both the first access condition and the second access condition are evaluated to be true.

Abstract: An intelligent scoring system includes a scorecard tool, a user input device, a memory component, a processor; and machine-readable instructions. The scorecard tool includes a scorecard and a neural network model. The machine-readable instructions stored in the memory component cause the intelligent scoring system to: receive a parameter rating for the scorecard for a first portion of a plurality of business performance parameters; automatically input the parameter rating for the scorecard for a second portion of the plurality of business performance parameters; associate a weighting with each parameter rating; estimate a parameter outcome score for each of the first portion and the second portion of the plurality of business performance parameters based on each parameter rating and weighting; automatically estimate an overall outcome score; and automatically generate a recommendation for improving the level of performance of the business unit.

Abstract: An enhanced OnDemand Governor is disclosed that computes a steady-state frequency based on prior recommended CPU frequencies and applies a steady-state frequency when available. When not available, a turbo frequency or a computed lower frequency is applied. For increased loads, the steady-state frequency can be applied for one or more cycles until it becomes apparent that gradual frequency increases are not sufficient to meet a large CPU load, at which point the turbo frequency is applied and the history of CPU frequencies can be flushed. The enhanced OnDemand Governor can be turned on where periodic loads are detected while the traditional OnDemand Governor can be used in all other use cases.