Diwakar Kasibhotla

A software analytic is associated with a software application that is being executed by a tenant. In aspects, the analytic is initiated and triggered from one of a plurality of software containers at an edge node. Each of the software containers at the edge node is provisioned and preconfigured with a resource usage for a single tenant. One of the plurality of software containers at the edge node is selected for use by the software analytic. Subsequently, tenant-specific data is obtained for… Show more

A software analytic is associated with a software application that is being executed by a tenant. In aspects, the analytic is initiated and triggered from one of a plurality of software containers at an edge node. Each of the software containers at the edge node is provisioned and preconfigured with a resource usage for a single tenant. One of the plurality of software containers at the edge node is selected for use by the software analytic. Subsequently, tenant-specific data is obtained for the analytic utilizing the selected container. The tenant-specific data does not include data from any other tenant. The tenant-specific data and the analytic are then sent from the edge node to a cluster of nodes for execution at the cluster of nodes. Show less

A risk assessment associated with an industrial machine or component of the machine is performed. A trigger message is received from the industrial machine. When the trigger message is received, a hyperlink is dynamically rendered to a user on a display. A user selects the hyperlink by a user. When the hyperlink is selected by the user, a dynamic risk assessment display is rendered on a display device to the user, and the risk assessment display communicating the risk assessment.

Methods and systems for automatically generating a list of keywords for an end user from very large amounts of text data. In an embodiment, a computer-implemented method includes a processor receiving a request from an end user device to generate a key word list, reading text data of a corpus of at least one domain, performing pre-processing of the text data of the corpus, and removing stop words. The process also includes generating, by the processor, a term document matrix, removing rare… Show more

Methods and systems for automatically generating a list of keywords for an end user from very large amounts of text data. In an embodiment, a computer-implemented method includes a processor receiving a request from an end user device to generate a key word list, reading text data of a corpus of at least one domain, performing pre-processing of the text data of the corpus, and removing stop words. The process also includes generating, by the processor, a term document matrix, removing rare words, and identifying unigrams, bigrams and trigrams. The processor then performs a stemming process on the unigrams, bigrams and trigrams to form stem words, replaces each stem word with its highest frequency unigram to generate normalized unigrams, generates normalized bigrams and normalized trigrams based on the normalized unigrams, and generates a list of keywords comprising the normalized unigrams, the normalized bigrams, and the normalized trigrams. Show less

Tenant-specific data required for use by a software analytic at an edge node is obtained. The software analytic is associated with a single tenant. The tenant-specific data and the analytic are transmitted from the edge node to a cluster of one or more software containers. Each of the containers at the cluster enforces a set of access privileges for files being accessed. The user data and the analytic are routed to a selected container within the cluster and the selected container executes the… Show more

Tenant-specific data required for use by a software analytic at an edge node is obtained. The software analytic is associated with a single tenant. The tenant-specific data and the analytic are transmitted from the edge node to a cluster of one or more software containers. Each of the containers at the cluster enforces a set of access privileges for files being accessed. The user data and the analytic are routed to a selected container within the cluster and the selected container executes the analytic such that the data accessed by the analytic at the container is protected from access by other tenants utilizing the cluster. Show less