International Business Machines Corporation

Metatomix, Inc.

Other

Objectstore, Inc.

Juniper Networks, Inc.

Vmware, Inc.

Amazon Technologies, Inc.

Yahoo Assets LLC

Raynet Corporation

Universiti Brunei Darussalam

Univsersiti Brunei Darussalam

Ashok Kumar

Donna Karen Byron

Colin P Britton

William Graham O'Keeffe

David A Bigwood

Mary Swift

Amir M Azmi

Chandra Bajpai

Noah W Kaufman

Robert F Angelo

Howard Greenblatt

Elie Feirouz

Anthony J DeFusco

David Deidou Taieb

Rajeev Chaubey

Dan O'Connor

Devasenapathi Periagraharam Seetharamakrishnan

Jose Barbosa

Shivkumar Kalyanaraman

Scott Harlan Isensee

Vijay Arya

Michael D Whitley

Cale R Vardy

Tanuja Ganu

Mark Marrara

Saiful A Husain

Chandratilak De Silva Liyanage

Dwi Rahayu

Stefano Stefani

Anurag Windlass Gupta

Stephen Arthur Boxwell

Rui Liu

Alexander Pikovsky

Amith Singhee

Ulrich Alfons Finkler

Eilaz Babaev

Jagabondhu Hazra

Ariel Raviv

Darren Brown

Amit Kumar Singh

Rahul Sharma Pathak

Anthony A Virtuoso

Octavian Florin Filoti

Karthikeyan Palanisamy

Robert J Wojciechowski

Kaushik Das

Arvind Maan

Chumki Basu

Jonathan Andrew Fritz

Gihad Ghaibeh

Rajesh Kumar

Mohamed Mostafa

Anoop Kochummen Johnson

Sravanthi Arimanda

Douglas L Lewis

Jian Ruan

Sachin Suresh Bhat

Prateeksha Uday Chandraghatgi

Suneil H Berajawala

Anil Sharma

Scott C Ecelberger

Nivetha Purusothaman

Manish Kochar

Parag Pramod Chaudhari

Jalpan Randeri

Yishan Yang

Udit Mehrotra

Sneha Bharadwaj

David S Burwell

Amir Helweh

Ajay Baliram Jadhav

Marwan Naboulsi

Chris Gonsalves

Ping-Hsiu Ben Tsai

Konstantin Milyutin

Vignesh Rajamani

Nils R Holzenberger

Rafael A Leano

Cheyenne E Parsley

Darren Raybourn

Balaji Kannan

A method, computer program product, and a system where a processor(s) obtains data related to medical treatment and a current physical state of a given patient. The processor(s) cognitively analyzes the data to identify potential patient behavioral patterns of the given patient. The processor(s) obtains general patient data and correlates the general patient data with a portion of the data to identify elements in the general patient data with a potential impact on the identified potential patient behavioral patterns. The processor(s) determines impacts of the elements on the identified potential behavioral patterns and applies the impacts to generate a data structure comprising baseline behavioral patterns, i.e., a predictive model to utilize in determining probabilities that the given patient will exhibit behaviors comprising the baseline behavioral patterns during a defined future time interval.

Hybrid predictive model for alertness monitoring

Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for analyzing messages associated with an inbox of a user, and providing functionality to the inbox for alerting the user to specific forms of content included within each message. Such functionality can include displaying messages and/or the content contained therein in a novel, dedicated and modified and/or embedded portion of a message inbox. The messages can also be modified upon display within in the inbox to indicate that the message includes content of a specific type. Also, messages that include specific content types can also trigger the disclosed framework to generate and provide alerts to the user indicating the inbox has received or includes specific forms of such content.

Computerized system and method for a mail integrated content delivery and alert system

A network device may identify an application signature associated with a web application, and may determine, based on an application-based policy associated with the web application, an access method to be used to transmit traffic associated with the web application. The network device may generate a proxy auto configuration (PAC) file using the application signature associated with the web application, and the access method to be used to transmit the traffic associated with the web application. The network device may provide the PAC file to a client device to permit the client device to transmit the traffic associated with the web application based on the PAC file.

Generating an application-based proxy auto configuration

Computer-implemented methods and systems described herein are directed to reducing volumes of log messages sent from edge systems to a data center. The computer-implemented methods performed at each edge system includes collecting a stream of log messages generated by one or more event sources of the edge system. Representative log messages of the stream of log messages are determined. The edge systems may discard non-representative log messages from data storage devices at the edge system. The representative log messages are sent from each of the edge systems to the data center where the representative log messages are received and stored in data storage devices of the data center, thereby reducing the volumes of log messages sent from the edge systems to the data center.

Methods and systems for reducing volumes of log messages sent to a data center

Examples described herein include systems and methods for contextually providing automated device enrollment into a management system. A management application on a user device can receive network settings for connecting to a local server. The network settings can be preconfigured by an administrator. The management application can cause the user device to send an enrollment request and a device identifier to the local server. The device identifier can be used to validate the device and provide a security token to the management application. The management application can use the security token to complete enrollment of the user device.

Contextual automated device onboarding

The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.

Methods and apparatus for querying a relational data store using schema-less queries

Curation of a corpus of a cognitive computing system is performed by reporting to a user a cluster model of a parse tree structure of discrepancies and corresponding assigned confidence factors detected between at least a portion of a first electronic document and a second or more electronic documents in the information corpus. Responsive to a selection by the user of a discrepancy cluster model, drill-down details regarding the discrepancy are returned to the user, for subsequent user selection of an administrative action option for handling the detected discrepancy to curate the information corpus.

Discrepancy curator for documents in a corpus of a cognitive computing system

A network device may receive network traffic associated with a network and determine that the network traffic is associated with a dynamic application. The network device may determine, based on the network traffic being associated with a dynamic application, an application feature associated with the network traffic. The network device may perform a lookup operation associated with the application feature to identify policy information associated with the application feature. The network device may selectively permit communication of the network traffic via the network based on the policy information associated with the application feature, wherein the network traffic is to be permitted to be communicated via the network or prevented from being communicated via the network based on an indication from the policy information.

Network traffic control based on application feature

A method, computer program product, and computer system for receiving, by a computing device, a question from a user. A first answer provided by a first subject matter expert is identified. A second answer provided by a second subject matter expert is identified. It is determined that a profile of the user matches a first profile of the first subject matter expert more than a second profile of the second subject matter expert. The first answer provided by the first subject matter expert is sent to the user with a preference over the second answer provided by the second subject matter expert based upon, at least in part, determining that the profile of the user matches the first profile of the first subject matter expert more than the second profile of the second subject matter expert.

System and method for providing more appropriate question/answer responses based upon profiles

Travel itineraries are automatically prepared based upon user interests and sentiments inferred by deep semantic analysis of user-commented and user-preferred digital works of literature by receiving interests and associated sentiment levels for at least one user according to a deep semantic analysis of a plurality of works of literature, wherein the works of literature have been rated, commented, or both rated and commented by the user; searching repositories of travel items to find one or more matching travel items to the received more interests and associated sentiment levels; and preparing at least one travel itinerary including at least one found matching travel item. Travel itineraries may be prepared responsive to a user-initiated trip planning session, responsive to notification of a new travel item's availability, periodically, or a combination thereof.

Travel itinerary recommendation engine using inferred interests and sentiments

A selected document from corpus of a cognitive computing system is processed according to its association with a category of documents already contained within the corpus, such as a topical category. Then, the cognitive computing system is engaged automatically to query one or more questions previously-associated with the category to discover discrepancies between the selected document and the other corpus documents. If a discrepancy is found, a confidence factor based upon extracted natural language entities and relationships is assigned to the discrepancy, and it is flagged and reported to a user for reconciliation.

Automated curation of documents in a corpus for a cognitive computing system

A network device receives a packet from a client device, and identifies, based on receiving the packet, a destination of the packet. The network device determines, based on information included in an application cache, an application associated with the destination of the packet, where the first network device, the client device, and the application cache are included in a first local network. The network device determines, based on the information included in the application cache, a policy rule associated with the application, and applies the policy rule to the packet.

Applying application-based policy rules using a programmable application cache

A new document is processed for ingestion into a corpus of a cognitive computing system by associating with a category of documents already contained within the corpus, such as a topical category. Then, the cognitive computing system is engaged automatically to query one or more questions previously-associated with the category to discover discrepancies between the new document and those already in the corpus. If a discrepancy is found, a confidence factor based upon extracted natural language entities and relationships is assigned to the discrepancy, and it is flagged and reported to a user for reconciliation.

Discrepancy handler for document ingestion into a corpus for a cognitive computing system

Aspects include generation of automated response follow-up. A response to a question from a user is received at a response follow-up system. The response follow-up system analyzes the response using natural language processing to identify one or more response terms. The response follow-up system generates one or more follow-up questions based on the one or more response terms. Based on the response, one or more follow-up responses to the one or more follow-up questions are pre-fetched from one or more content provider systems including one or more content servers, where a question answering system including the response follow-up system is communicatively coupled to the one or more content provider systems through a network. The response follow-up system modifies an aspect of a user interface displayed to the user based on the one or more follow-up questions and the one or more follow-up responses.

System for generation of automated response follow-up

A method, system or computer usable program product for utilizing a dialectical model for providing an answer to a user query including applying NLP to the query to generate a first set of NLP structures; generating a contrary set of NLP structures contrary to the user query; evaluating the first set of NLP structures to identify a first set of evidence; evaluating the contrary set of NLP structures to identify a second set of evidence; evaluating a first set of hypotheses from the first set of NLP structures and a contrary set of hypotheses from the contrary set of NLP structures to determine a set of answers to the user query; summarizing the set of answers including indicating derivation thereof; and providing the summarized set of answers to the user.

User interface for a query answering system

Growing community of inventors

North Chelmsford, MA, United States of America

Ashok Kumar