Sap Se

Yahoo! Inc.

Novell, Inc.

Debashis Banerjee

Hari Babu Krishnan

Prasanna Kumar Govindappa

Shruthi Jinadatta

Kavitha Krishnan

Krishna Hindhupur Vijay Sudheendra

Hemanth Rajeswari Anantha

Balaji Raghunathan

Panish Ramakrishna

Prateek Agarwal

David Herman

Amit Saxena

Gaurav Rathi

Anilkumar Tambali

Pravinth Ganesan

Snigdhaman Chatterjee

Nithya Rajagopalan

Paresh Manhar Rathod

Ashutosh Patel

Hemanth Basrur

Rahul Seshagiri Srivatsa

Shivaprasad Kc

Saket Agrahari

Shivaprasad K C

Shivaprasad Kodlipet Chandrashekhar

Thirumaleshwar Kunamalla

Madhava Dama

Anand Balachandran

Santhosh Krishnamurthy

Sagar Mullanghi

A system and method are provided including a plurality of nodes including at least one neighbor node set formed from at least a first node and a second node, wherein each node of the plurality of nodes converts at least one input to at least one output; a processing unit executes processor-executable program code to cause the system to: execute the first node, wherein execution of the first node generates an execution status for the first node and output data for the first node; receive, by the second node, at least the execution status for the first node and output data for the first node; compare, by the second node, the received execution data to an anomaly policy; detect, by the second node, an anomaly at the first node based on the comparison; and transmit the detected anomaly to at least an anomaly learning module. Numerous other aspects are provided.

Anti-entropy in enterprise networks

A system and method are provided including a memory storing processor-executable program code; and a processing unit to execute the processor-executable program code to: receive a first task map including a plurality of nodes, each node representing an executable process for completion of a task; identify a first node of the plurality of nodes as a starting node representing the first process for completion of the task; identify a second node of the plurality of nodes as the ending node representing the last process for completion of the task; generate a first sequence order of node execution for completion of the task based on a target parameter; identify an anomaly; generate a second sequence order of node execution for completing the task based on the target parameter; and execute the nodes in the generated second sequence order. Numerous other aspects are provided.

Supply chain resilience in task networks

Systems, methods, and computer media are described for dynamically mitigating slow web pages. Wait time thresholds can be established for individual pages or categories of pages. The wait time thresholds reflect a delay time determined to be acceptable to users. Pages for which wait time thresholds are established can be monitored, and when requests to load one of the pages results in a delay beyond the threshold, which indicates a slow page, alternative content can be provided to the requesting user. The alternative content is selected to be useful to the user in accomplishing the user's goal despite the delay and can be a help page or information for accessing desired information in another way.

Dynamic mitigation of slow web pages

Some embodiments provide a program that receives a first set of data and a first greenhouse gas emission value. The program stores, in a cache, the first set of data and the first greenhouse gas emission value. The program receives a second set of data and a second greenhouse gas emission value. The program stores, in the cache, the second set of data and the second greenhouse gas emission value. The program receives a third set of data and a third greenhouse gas emission value. The program determines one of the first and second sets of data to remove from the cache based on the first and second greenhouse gas emission values. The program replaces, in the cache, one of the first and second sets of data and the corresponding first or second greenhouse gas emission value with the third set of data and the third greenhouse gas emission value.

Caching data based on greenhouse gas data

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program observes a parameter associated with a computing system. Upon receiving a change associated with the parameter, the program further determines a routine definition from a set of routine definitions associated with the parameter. Each routine definition in the set of routine definitions specifies a set of instructions associated with a particular parameter associated with the computing system. The program also executes the set of instructions specified in the determined routine definition.

Dynamic generation of logic for computing systems

According to some embodiments, methods and systems may include a data storage device that contains document files associated with a plurality of document line objects with attributes, the attributes including item terms and conditions. An object exchange platform processor may receive input values for a selected document line object with attributes and determine that the selected document line object contains multiple object sets. The processor may then create, for each object set, a separate executable outline document having an outline document identifier. The processor may also arrange to establish the plurality of executable outline documents at a remote external central component platform. According to some embodiments, objects within the selected document line object have a hierarchical structure such that some objects are sub-items of other objects. Moreover, attributes of the objects within the selected document line object may be distributable and configurable in accordance with the hierarchical structure.

Support hierarchical distribution of document objects

A system includes reception of a definition of a first attribute to associate with a logical object of the first application, reception of a definition of a second attribute to associate with a second logical object of the first application, determination, based on the definition of the first attribute and the definition of the second attribute, that the first attribute and the second attribute are associated with a same semantic, based on the determination, generation of e a first identifier associated with the first attribute and the second attribute and storing the first identifier associated with the first attribute and the second attribute in a first data schema associated with the first application, and storage of the first identifier associated with the first attribute and the second attribute in an analytics schema associated with an analytics application.

Custom term unification for analytical usage

Disclosed herein are computer-implemented method, system, and computer-program product (computer-readable storage medium) embodiments for efficiently processing configurable criteria. An embodiment includes at least one computer processor configured to receive a first configuration corresponding to a plurality of attributes, access a data set of one or more items, and compute a first key based at least in part on the first configuration. In a further embodiment, the at least one computer processor may be configured to populate a first set of selected items based at least in part on the first key, and may further be further configured to output the first set of selected items. The first key may uniquely correspond to the first configuration, and the first set of selected items may include any item, of the data set of one or more items, selected based at least in part on the first key, according to some embodiments.

Efficiently processing configurable criteria

A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Machine learning based document editing engine

Systems and methods are provided for analyzing an HTML file to identify elements in the HTML file to which to add unique automation tags, and for each element identified, determining whether the element is a dynamic element. If the system determines that an element is a dynamic element, the system generates an observer for the dynamic element to detect a change to the dynamic element, and if the system detects a signal sent by the observer indicating that a change to the dynamic element has occurred, the system generates a unique automation tag for an element corresponding to the change to the dynamic element. If the system determines that the element is not a dynamic element, the system generates a unique automation tag for the element.

Dynamic generation of automation tags

A first version of a document is accessed so that a corresponding contract dictionary is generated with a plurality of string tokens. Subsequently, a visual distinction is assigned to the corresponding ranking priority of each of the plurality of string tokens. A second version of the document is accessed and changed string tokens are identified by comparing the second version with the first version of the document. A corresponding ranking priority is then retrieved for each of the changed string tokens in the contract dictionary so that each of the changed string tokens can be highlighted with the visual distinction corresponding to the ranking priority. Each of the highlighted changed string tokens can then be displayed with the visual distinction and the document on a graphical user interface.

Graphical user interface providing priority-based markup of documents

Example embodiments for classification are described. In an example embodiment, a request including a text term to be classified is received from a source system via a communication network at a computer system. A rule associated with the text term is accessed, in which the rule indicates at least one classifier of a plurality of classifiers installed at the computer system. Classification information for the text term is generated at the computer system using the at least one classifier indicated by the rule. The generated classification information includes a classification selected from a taxonomy by the at least one classifier. The generated classification information is transmitted via the communication network to the source system.

Cloud-based pluggable classification system

Disclosed are systems, methods, and non-transitory computer-readable media for a self-learning and self-healing API platform. The API platform receives messages transmitted between computing systems according to an API designed to facilitate communications between the computing systems. The API includes a message sequence and schema for communications between the computing systems. If the API platform detects an occurrence of a modification trigger associated with the API, the API platform determines a modification to be performed to the API. The modification includes a change to the message sequence and schema of the API. The API platform automatically executes the modification, resulting in a revised API. Accordingly, subsequent messages transmitted between the computing systems are transmitted according to the revised API.

Application programming interface (API) platform

A method and system including a data storage device to store document files, entity graph data structures, and data graph data structures; a processor to receive input values for parameters of a plurality of entities related to a document being authored; generate an entity graph data structure linking, directly or indirectly, the plurality of entities based on shared property commonalities between the plurality of entities; generate a data graph data structure based on the entity graph data structure and at least one of at least one existing document file, curated document terms, and relevant terms acceptable to the plurality of entities; and automatically generate, based on the data graph data structure, a self-awareness notification for the document being authored, the self-awareness notification indicating an action related to a continued authoring of the document being authored; and an output to output a user interface to display the generated notification in a notification interface area of a user interface.

Growing community of inventors

Bengaluru, India

Debashis Banerjee