Sap Se

Kavitha Krishnan

Rohit Jalagadugula

Sai Hareesh Anamandra

Gopi Kishan

Debashis Banerjee

Akash Srivastava

Prateek Agarwal

Naga Sai Narasimha Guru Charan Koduri

Baber Farooq

Diwakar Maurya

Paresh Manhar Rathod

Manoj Kumar

Martin Wezowski

Jayananda Appanna Kotri

Parthasarathy Menon

Hemanth Basrur

Alexander Schaefer

Nicholas John Nicoloudis

Luxi Li

Pai-Hung Chen

Anton Kroger

Vinay George Roy

Hans-Martin Will

Jayanthi Subramanian

Prateek Garg

Sindhu Gangadharan

Kalpana Karunamurthi

Ashok Veilumuthu

Maheswar Reddy Pulla

Kumar Nitesh

Shweta Mohanty

Amey Haram

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

Techniques and solutions are provided for facilitating the definition and use of virtual environments. Typically, virtual environments require manual linking of virtual environment components, such as locations, avatars to be displayed, avatar interactions, and actions to be taken upon a selected interaction. This is in addition to actions to define, for example, a visual representation of a virtual location or an avatar. Disclosed techniques provide standardized data objects that can represent components of a virtual environment and relationships between such components. For example, aspects of a virtual environment can be predefined, and a user can configure the virtual environment with particular avatars and particular avatar content (such as media to be rendered for that avatar). In particular aspects, components of a virtual environment, such as avatars, can be determined at runtime, included based on attributes associated with a particular user for whom the virtual environment is to be rendered.

Configurable virtual environment definitions

A method includes receiving, at a search toolbar, a search query from a machine in a network. The machine has an associated machine profile for participating in the network as an entity. The machine profile includes a machine identifier and machine metadata. A query type is determined from the search query. A search context for the machine is determined using a semantic graph of the network. From a set of services for the network, one or more relevant services to respond to the search query are identified based on the query type and the search context. The search query is applied to the one or more relevant services to obtain a set of responses. A set of relevant results for the search query is determined from the set of responses. The set of relevant results is transmitted to the machine.

Search service for a network of social machines

A computer-implemented method can receive a message sent from a source entity, perform first pre-processing operations for verifying validity of the message, perform second pre-processing operations for determining a category of the message, extract metadata from the message, generate an enriched message comprising the metadata and the determined category, perform post-processing operations for classifying the enriched message into one of a plurality of event types, broadcast the enriched message to a message broker, and routing, by the message broker, the enriched message to one or more target entities registered an event type into which the message is classified.

Message platform for autonomous entities

A method includes receiving a message query from an entity identifier participating in a social network. The message query specifies one or more entities, one or more requirements, and one or more constraints. A set of message query parameters is generated based on the message query. A set of queries for a semantic graph of the social network is generated based on the set of message query parameters. The set of queries is applied to the semantic graph to obtain a set of query results. A message context of the entity identifier is determined based on the set of query results and the set of message query parameters. A set of messages from a message repository is determined based on the message context. The set of messages can be presented on a client computer associated with the entity identifier.

Message query service and message generation for a social network

Technologies and solutions are provided for improving process efficiency/identifying efficient paths of process steps. A target outcome can be identified, which can be a particular status, such as a stage (or status/step) in a process, or a target outcome can be an identification of particular process statuses that can be reached, such as given a particular set of constraints. Proceeding between process steps involves the use of resources, where a process step can be reached, or having an increased chance of being reached, when the resources have been obtained. Various paths can exist for obtaining a resource, where some paths can be more efficient than others. Based on resource paths and paths between steps of a process, one or more paths can be suggested for reaching the target outcome, including providing information about the process step paths or the resources paths for reaching the target outcome.

Automated optimization of branched processes providing improved process efficiency

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

A method may include collecting data from a variety of data sources associated with a user. The data sources may include personal data sources, corporate data sources, and public data source. The data collected from the variety of data sources may be enriched through categorization and aggregation. For example, browser history may be categorized based on types of website and aggregated to reflect the quantity of interactions with each category of website. A multi-dimensional digital profile may be generated based on the enriched data. For instance, the digital profile may include a social, emotional, spiritual, environmental, occupational, intellectual, and physical dimension. One or more recommendation corresponding to one or more of a burnout prediction, wellness recommendation, learning plan, skill gap, and personality type may be generated based on the digital profile. Related systems and computer program products are also provided.

Multimodal data framework for digital system representation

In some example embodiments, there may be provided a method that includes receiving a machine learning model provided by a central server configured to provide federated learning; receiving first audio data obtained from at least one audio sensor monitoring at least one machine located at the first edge node; training, based on the first audio data, the machine learning model; providing parameter information to the central server in order to enable the federated learning among a plurality of edge nodes; receiving an aggregate machine learning model provided by the central server; detecting an anomalous state of the at least one machine. Related systems, methods, and articles of manufacture are also described.

Federated learning with sound to detect anomalies in the industrial equipment

In an example embodiment, a recommendation engine provides recommendations as to how decision-making units (DMUs) can improve efficiency, or savings can utilize machine learning algorithms and data envelopment analysis (DEA). DEA is a linear programming methodology, and is used in the example embodiment to identify one or more key performance indices (KPIs) that are most important to a DMU.

Benchmarking decision making units using data envelopment analysis

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

A method may include applying, to various factors contributing to a sentiment that an end user exhibits towards an enterprise software application, a first machine learning model trained to determine, based on the factors, a sentiment index indicating the sentiment that the end user exhibits towards the enterprise software application. In response to the sentiment index exceeding a threshold value, a second machine learning model may be applied to identify remedial actions for addressing one or more of the factors contributing to the sentiment of the end user. A user interface may be generated to display, at a client device, a recommendation including the remedial actions. The remedial actions may be prioritized based on how much each corresponding factor contribute to the sentiment of the end user. Related systems and articles of manufacture are also provided.

Machine learning models for sentiment prediction and remedial action recommendation

A method for machine-learning based process flow recommendation is provided. The method may include training a machine-learning model by at least processing training data with the machine-learning model. The training data may include a matrix representing one or more existing process flows by at least indicating actions that are performed on a document object to generate a subsequent document object. An indication that a first document object is created as part of a process flow may be received. In response to the indication, the trained machine-learning model may be applied to generate a recommendation to perform, as part of the process flow, an action to generate a second document object. Related systems and articles of manufacture, including computer program products, are also provided.

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Bengaluru, India

Kavitha Krishnan