International Business Machines Corporation

Nuance Communications, Inc.

Globalfoundries Inc.

Karthik Visweswariah

Rose Catherine Kanjirathinkal

Debapriyo Majumdar

Amit K Singh

Harry William Printz

Nandakishore Kambhatla

Sugata Ghosal

Karthik Sankaranarayanan

Michael Daniel Monkowski

Shajith I Mohamed

Satyanarayana Dharanipragada

Ankur Gandhe

Amit Kumar R Singh

Vibha Singhal Sinha

Ashish Verma

Vaibhava Goel

Vinayaka D Pandit

Ea-Ee Jan

Rashmi Gangadharaiah

Srujana Merugu

Om Dadaji Deshmukh

Sumit Bhatia

Anup Kumar Ghosh

Asidhara Lahiri

Sushovan De

Lior Horesh

Sachindra Joshi

Juhnyoung Lee

Michael Alan Picheny

Sai Zeng

Krishna Kummamuru

Chitra Dorai

Anuradha Bhamidipaty

Ramesh Ambat Gopinath

Etienne Marcheret

Raghuram Krishnapuram

Rangachari Anand

Debdoot Mukherjee

Peder Andreas Olsen

Monika Gupta

Ankur Narang

Ramendra K Sahoo

Deepak S Padmanabhan

Jayanta Basak

Dinesh Raghu

Benoit Maison

Samarth Bharadwaj

Shailabh Nagar

Dayama Pankaj Satyanarayan

Jerome L Quinn

Virendra K Varshneya

Shailesh Joshi

William J Ablondi

Vikram Tankasali

Amit K R Singh

Prakhar Biyani

Singh Amit Kumar Rambachan

Senthil K K Mani

Noel J Almeida

Maureen E Rzasa

Gary J Wright

Methods and arrangements for managing data collection relating to equipment in an asset network. A model is trained based on historical data relative to equipment in the asset network, wherein the model is employed for recommending at least one action for further data collection from the equipment. The model is adapted based on inputs comprising two or more of: historical sensor data, from one or more sensors obtaining data relative to the equipment; equipment maintenance and/or replacement data; a current system state; and a geographical position of one or more individuals who report data. The adapted model is employed to recommend at least one subsequent best action for collecting data relative to the equipment. Other variants and embodiments are broadly contemplated herein.

Data collection for predictive maintenance of networked assets leveraging mobile measurement devices

Methods and arrangements for configuring document editors. A search client add-in is loaded at a document editor. At the document editor, a document is accepted from a search engine. Communication is established between the search client add-in and the search engine. At the search client add-in, supplementary information about the document is received from the search engine. User input about the document is accepted, and is directed to the search engine. The document is informatively enhanced via at least one of: the supplementary information and the user input. Other variants and embodiments are broadly contemplated herein.

Extending document editors to assimilate documents returned by a search engine

A method for determining at least one zonal flow rate of a reservoir well comprises: receiving input data representing at least one state parameter of the reservoir well; determining a generative model of the at least one state parameter and a generative model of the at least one zonal flow rate; iteratively adapting the generative models to minimize divergence from available data until the generative models and the available data converge; and, once the generative models and the available data converge, using the generative model of the at least one zonal flow rate to compute the at least one zonal flow rate.

Methods and apparatus for computing zonal flow rates in reservoir wells

One embodiment provides a method of prioritizing mobile finance customer follow up actions based on mobile device location data, the method including: utilizing at least one processor to execute computer code that performs the steps of: associating a mobile finance customer account with a mobile device; receiving a plurality of locations of the mobile device, the plurality of locations including at least one non-transactional location associated with a predetermined geographic location of interest; forming a mobility profile based on the plurality of locations; selecting, using a processor, a follow up action type based at least in part on the mobility profile; and transmitting, using a mobile network, a communication of the follow up action type to the mobile device. Other aspects are described and claimed.

Prioritizing customer follow-up actions based on mobile device location data

A method for detecting solutions to a problem using content in online discussion sources. The method includes receiving a request, such request identifying a problem, and searching multiple online discussion sources for content related to the problem. Responsive to finding content related to the problem, the method searches the multiple online discussion sources for a plurality of solutions to the problem. Responsive to finding a plurality of solutions to the problem, the method forms groups containing the solutions from each of the multiple online discussion sources. The method then determines a likeliness to solve the problem for each of the groups and ranks the groups based on the determined likeliness to solve the problem. The method then determines that the rank of at least one group meets a threshold value, wherein the threshold value is based on a confidence in the likeliness to solve the problem.

Using content found in online discussion sources to detect problems and corresponding solutions

Embodiments of the present invention provide a system, method, and program product to measure problems from a social media discussion. In exemplary embodiments, a computer extracts one or more problems from the social media discussion. The computer extracts one or more severity indicators and one or more complexity indicators from the social media discussion. The computer clusters the one or more problems into one or more sets of unique problems in a manner that related problems are clustered together into the one or more unique problems. The computer determines an overall severity and an overall complexity of the sets of unique problems.

Measuring problems from social media discussions

Extracting and mining of quote data across multiple languages, including: retrieving, from a plurality of quote sources, a plurality of commentary summarizations, wherein each commentary summarization is embodied as a machine-readable data structure and wherein the plurality of commentary summarizations include information in at least two or more languages; for each commentary summarization: identifying, within the commentary summarization, quote data, wherein the quote data represents a quote from a commentator; creating a quote tuple for the quote data, the quote tuple including information associated with quantifiable aspects of the quote data; and storing, in a quote tuple repository, the quote tuple; mining, for quote analysis information, the quote tuple repository; and presenting, to a user, the quote analysis information.

Extracting and mining of quote data across multiple languages

Selecting a content filler from a plurality of content fillers in a satellite broadcast comprises receiving a content in a first broadcast frequency channel, and a plurality of content fillers in a respective plurality of second broadcast frequency channels, wherein the content includes a gap in content to be filled by one of the plurality of content fillers, the gap in content defined by a start indicator and an end indicator. The receiver transmits the content to a display device. The receiver determines a second broadcast frequency channel, from among the plurality of second broadcast frequency channels and responsive to receiving the start indicator, switches to the determined second broadcast frequency channel, transmits the content filler in the determined second broadcast frequency channel to the display device. Responsive to receiving the end indicator, the receiver switches to the first broadcast frequency channel and transmits the content to the display device.

Targeted advertising and customized display of advertisements in satellite broadcasting

Techniques for annotating an entity in a document corpus using cross-document signals. A method includes determining which documents in a document corpus mention an entity of interest, clustering the documents that mention an entity of interest according to a temporal signal, a structural signal and/or a content signal, thereby forming at least one cluster of documents, and annotating at least one document in the at least one cluster of documents by marking each occurrence of the entity in the at least one document.

Annotating entities using cross-document signals

A method for managing user-generated questions and answers across multiple social media data sources can begin with the receiving of query parameters, including a user-entered question, via the user interface of a social media Q&A manage. Social media data sources can be queried for knowledge related to the user-entered question. When knowledge related to the user-entered question exists, the existing related knowledge can be organized and presented in the user interface according to a determined answer quality. When knowledge related to the user-entered question does not exist or is deemed unsatisfactory by a user, the user-entered question can be automatically submitted to applicable social media data sources by the social media Q&A manager on behalf of the user. A status of the submitted user-entered question can be monitored. When the status of the submitted user-entered question changes, the method can be re-executed at the querying step.

User interface for managing questions and answers across multiple social media data sources

Embodiments of the present invention relate to an approach for reusing information/knowledge. Specifically, embodiments of the present invention provide an approach for retrieving previously stored data to satisfy queries (e.g., jobs/tickets) for solutions to problems while maintaining privacy/security of the data as well as ensuring the quality of the results. In a typical embodiment, a query for a solution to a problem is received and details are extracted therefrom. Using the details, a search is performed on a set of data stored in at least one computer storage device. Based on the search, a set of results will be generated and classified into a set of categories. In any event, the quality of each of the set of results will be assessed based on the usefulness of the set of results.

Computer-implemented information reuse

Methods and arrangements for handling queries for a discussion thread. A contemplated method includes: receiving a query; automatically classifying the query as subjective, objective or neither; and upon classifying the query as subjective or objective: calculating, for discussion threads of the query, at least one of: a subjectivity score and an objectivity score; determining a degree of relevance to the query of at least one of: the discussion threads, and at least one post in the at least one discussion thread; and ranking the discussion threads based on said calculating and determining. Other variants and embodiments are broadly contemplated herein.

Online thread retrieval using thread structure and query subjectivity

An apparatus and an article of manufacture for annotating an entity in a document corpus using cross-document signals include determining which documents in a document corpus mention an entity of interest, clustering the documents that mention an entity of interest according to a temporal signal, a structural signal and/or a content signal, thereby forming at least one cluster of documents, and annotating at least one document in the at least one cluster of documents by marking each occurrence of the entity in the at least one document.

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Bengaluru, India

Karthik Visweswariah