Abstract: According to some embodiments, a system associated with predictive analytics may include a data filter dictionary that stores a plurality of electronic data records based on prior input data. A data filtering and noise reduction module may receive input data and access the data filter dictionary. The data filtering and noise reduction module may then utilize data from the data filter dictionary and a latent semantic indexing data filter and noise reduction algorithm to remove information from the input data and create a subset of the input data. A predictive analytic algorithm platform may receive the subset of input data and use a predictive analytic algorithm to output a prediction result. An intelligent loop-back mechanism may then receive the subset of the input data and dynamically update the data filter dictionary based on an impact associated with the output prediction result.

Abstract: According to some embodiments, a system associated with predictive analytics may include a data filter dictionary that stores a plurality of electronic data records based on prior input data. A data filtering and noise reduction module may receive input data and access the data filter dictionary. The data filtering and noise reduction module may then utilize data from the data filter dictionary and a latent semantic indexing data filter and noise reduction algorithm to remove information from the input data and create a subset of the input data. A predictive analytic algorithm platform may receive the subset of input data and use a predictive analytic algorithm to output a prediction result. An intelligent loop-back mechanism may then receive the subset of the input data and dynamically update the data filter dictionary based on an impact associated with the output prediction result.

Abstract: Various embodiments of systems and methods for trust circle through machine learning are described herein. The method includes identifying a website subscribed with the trust circle for aggregating data based upon a query. The query is received from a user of one or more registered users of the subscribed website. The one or more users' information and their respective authentication token is retrieved from the subscribed website. Based upon the authentication token of the respective user, information of the respective user is retrieved from one or more social media websites. The retrieved one or more users information and their retrieved one or more social media websites information is correlated to generate an output based upon the query. The output comprises reviews by the one or more users as reviewers, relationship of the reviewers with the user raised the query, and ratings clustered based upon various parameters.

Abstract: A request with data is received at an execution environment of an application. In response to the request, a first network packet is automatically created. The first network packet includes the data, orchestration code and application code of the application. The first network packet is sent to a first network node. The first network node executes a first section of the application code in a node execution environment. The section to be executed is determined based on the orchestration code. In response to the execution, a microservice associated with the application is invoked. Upon receiving a response from the microservice, a second network packet is dynamically generated. The second network packet includes the received response, the orchestration code, and one or more sections of the application code. The second network packet is sent to a second network node.

Abstract: A request with data is received at an execution environment of an application. In response to the request, a first network packet is automatically created. The first network packet includes the data, orchestration code and application code of the application. The first network packet is sent to a first network node. The first network node executes a first section of the application code in a node execution environment. The section to be executed is determined based on the orchestration code. In response to the execution, a microservice associated with the application is invoked. Upon receiving a response from the microservice, a second network packet is dynamically generated. The second network packet includes the received response, the orchestration code, and one or more sections of the application code. The second network packet is sent to a second network node.

Abstract: A computer implemented method of integrating microservices. The computer displays a graphical environment and determines a suggested next microservice according to usage data. At least one of the microservices may access a hardware sensor that generates measurement data for the at least one microservice.

Abstract: Various embodiments of systems and methods for trust circle through machine learning are described herein. The method includes identifying a website subscribed with the trust circle for aggregating data based upon a query. The query is received from a user of one or more registered users of the subscribed website. The one or more users' information and their respective authentication token is retrieved from the subscribed website. Based upon the authentication token of the respective user, information of the respective user is retrieved from one or more social media websites. The retrieved one or more users information and their retrieved one or more social media websites information is correlated to generate an output based upon the query. The output comprises reviews by the one or more users as reviewers, relationship of the reviewers with the user raised the query, and ratings clustered based upon various parameters.

Abstract: A computer implemented method of integrating microservices. The computer displays a graphical environment and determines a suggested next microservice according to usage data. At least one of the microservices may access a hardware sensor that generates measurement data for the at least one microservice.

Abstract: Systems and methods for providing an auto-search text box in a content submission system are provided. In example embodiments, a message interface that is used to submit content to a content submission system is provided. The message interface includes a short text field that receives at least one keyword that summarizes the content to be submitted. In response to completion of entry of the at least one keyword in the short text field, a search of a content database for previously submitted content that matches the at least one keyword is automatically performed. Based on the search, a results list is displayed in proximity to the short text field on the message interface. The results list comprises a title and a link for each result in the results lists.

Abstract: In an example embodiment, a method of performing a health check on a process integration (PI) component is provided. A PI health check scenario is loaded into the PI component, the PI health check scenario including a reference to a list of checks. The PI health check scenario is then executed using the PI component, causing one or more checks in the list of checks to be performed at a predetermined frequency. The system can then automatically determine if one or more of the one or more checks fail.

Abstract: A process integration system to interface between a sender system and a receiver system is described. The process integration system has a sender adapter, an integration engine, a receiver adapter, and a language converter module. The sender adapter receives a communication in a first language from the sender system. The communication is in a first format of the sender system. The sender adapter converts the communication into a second format of the process integration system, and the integration engine identifies the receiver system from the communication in the second format. The receiver adapter converts the communication from the second format to a third format of the receiver system, and sends the communication in the third format and in a second language to the receiver system. The language converter module translates the communication in the third format to the second language associated with the receiver system.

Abstract: Systems and methods for providing an auto-search text box in a content submission system are provided. In example embodiments, a message interface that is used to submit content to a content submission system is provided. The message interface includes a short text field that receives at least one keyword that summarizes the content to be submitted. In response to completion of entry of the at least one keyword in the short text field, a search of a content database for previously submitted content that matches the at least one keyword is automatically performed. Based on the search, a results list is displayed in proximity to the short text field on the message interface. The results list comprises a title and a link for each result in the results lists.

Abstract: In an example embodiment, a method of performing a health check on a process integration (PI) component is provided. A PI health check scenario is loaded into the PI component, the PI health check scenario including a reference to a list of checks. The PI health check scenario is then executed using the PI component, causing one or more checks in the list of checks to be performed at a predetermined frequency. The system can then automatically determine if one or more of the one or more checks fail.