Abstract: A software information analysis system that assesses the operational risks of using a particular set of software is provided. The system identifies one or more software entities used by one or more applications operating in an environment. The system collects information relevant to the identified one or more software entities. The system extracts opinions regarding the identified one or more software entities in the collected information. The system calculates an operational risk metric for the environment based on sentiments expressed in the extracted opinions. Each extracted opinion is weighted based on a personal identity associated with the extracted opinion.

Abstract: A system, method and program product for recommending a network resource provider to a resource consumer. An interactive recommendation engine for determining a recommendation of a network resource provider is provide and includes: a requirements collection manager that collects a set of requirements for an organization and includes: a query management system that provides an interactive platform for implementing a natural language dialog with a user; and a semantic analysis system that analyzes inputs from the user to identify requirements and formulate outputs to the user; a provider data curation manager that curates structured and unstructured provider information into a provider knowledgebase; and a decision analytics system that analyzes the set of requirements and provider knowledgebase to identify a recommended resource provider.

Abstract: A computerized predictive workload scheduling tool and methods for analytically implementing a predictive job schedule. The scheduling tool incorporates and uses analytics to leverage information from a plurality of data sources to anticipate and pro-actively correct computing system job failures before they occur. The predictive scheduling tool generates a job schedule, analyzes the job schedule for predictable failures and resolves the identified failures by amending the job schedule. The job schedule generated and analyzed by the scheduling tool is deployed, analyzed and resolved for errors as needed or identified to prevent failures from occurring.

Abstract: A system, method and program product for recommending a network resource provider to a resource consumer. An interactive recommendation engine for determining a recommendation of a network resource provider is provide and includes: a requirements collection manager that collects a set of requirements for an organization and includes: a query management system that provides an interactive platform for implementing a natural language dialog with a user; and a semantic analysis system that analyzes inputs from the user to identify requirements and formulate outputs to the user; a provider data curation manager that curates structured and unstructured provider information into a provider knowledgebase; and a decision analytics system that analyzes the set of requirements and provider knowledgebase to identify a recommended resource provider.

Abstract: In a method for storing and recalling stored data, data to be stored is received and a first brain activity information from a user is received. The first brain activity is hashed to generate a first brain activity information hash value. The data is stored within a database and indexed. The indexing is done according to the first brain activity information hash value. The stored data is recalled when a request to recall the stored data is received along with a second brain activity information from a user. The received second brain activity is hashed to generate a second brain activity information hash value. The second brain activity information hash value is used to identify a location of the stored data, within the database, based on the indexing, by matching the second brain activity information hash value to the first brain activity information hash value. The stored data is then retrieved based on the identified location.

Abstract: A computerized predictive workload scheduling tool and methods for analytically implementing a predictive job schedule. The scheduling tool incorporates and uses analytics to leverage information from a plurality of data sources to anticipate and pro-actively correct computing system job failures before they occur. The predictive scheduling tool generates a job schedule, analyzes the job schedule for predictable failures and resolves the identified failures by amending the job schedule. The job schedule generated and analyzed by the scheduling tool is deployed, analyzed and resolved for errors as needed or identified to prevent failures from occurring.