Karin Murthy

20130166542, Jun 27, 2013

Feb 19, 2013

13/770839

International Business Machines Corporation - Armonk NY, US
Karin Murthy - San Jose CA, US
Debarshi Raha - Madhyamgram, IN
Steffen Schaefer - Muenchen, DE

International Business Machines Corporation - Armonk NY

G06F 17/30

707722

Systems of computer hardware for unifying data are presented including: a complex enterprise query client; a web sphere federation server (WSFS) electronically coupled with the complex enterprise query client, the WSFS configured for receiving a complex query from the complex enterprise query client; a first and second data service wrapper of a number of wrappers configured for transforming a first and second sub-query of the complex query corresponding with a first and second data type into a first and second data query; and a network traversal framework configured for receiving the first data query and the second data query, for sending consolidated first and second data results corresponding with the first and second data query to the first and second data service wrapper.

20200244380, Jul 30, 2020

Jan 24, 2019

16/256241

- Armonk NY, US
Ruchi Mahindru - Elmsford NY, US
Karin Murthy - Danbury CT, US
Sharon M. Trewin - Croton-on-Hudson NY, US

H04H 60/33
G06F 3/0482
G06F 9/54
G10L 15/00
G06F 9/451

Providing real-time awareness of an audience to a presenter during the presentation. In response to presenting a presentation to an audience, information is automatically collected about the audience from sensors positioned amongst the audience. The collected information about the audience is analyzed and, during the presentation, recommendations are made to the presenter for improving the presentation based on the collected information.

20200104774, Apr 2, 2020

Sep 28, 2018

16/145820

- Armonk NY, US
Maja Vukovic - New York NY, US
Karin Murthy - Elmsford NY, US
Raghav Batta - Ossining NY, US
Soumitra Sarkar - Cary NC, US

G06Q 10/06
G06F 17/18
H04L 12/24
G06F 15/18

Aspects of the invention include receiving, using a processor, a plurality of values of a performance indicator. A statistical analysis of the plurality of values of the performance indicator is performed, using the processor, to detect an anomaly pattern in the plurality of values of the performance indicator. A warning message about the detected anomaly pattern is sent to an alert recipient that is selected by a machine learning model trained to identify alert recipients based at least in part on detected anomaly patterns. Feedback about the warning message is received from the alert recipient. The feedback includes an interest of the alert recipient in receiving warning messages about the detected anomaly pattern. The machine learning model is updated based at least in part on the feedback.

20190268366, Aug 29, 2019

Feb 26, 2018

15/904529

- Armonk NY, US
Vugranam C. Sreedhar - Yorktown Heights NY, US
Karin Murthy - Elmsford NY, US
Jinho Hwang - Ossining NY, US
Milton H. Hernandez - Tenafly NJ, US
Lisa M. Chavez - Placitas NM, US
Muhammed Fatih Bulut - New York NY, US
Virginia Mayo - Piscataway NJ, US
Xinli Wang - Yorktown Heights NY, US
Cindy Mullen - Madison WI, US

H04L 29/06
G06N 3/08
G06N 3/04

A system includes a memory that stores computer executable components and neural network data, and a processor executes computer executable components stored in the memory. An assessment component assesses a computer network, and classifies the computer network relative to M network classifications stored in a repository, wherein M is an integer greater than one. A risk component determines risk of vulnerability subject to change impact regarding protection against a computer virus or cyber-attack based on historical information regarding vulnerability exposure and vulnerability remediation changes relative to the classification of the computer network. A recommendation component that generates recommendations and best action to mitigate risk and impact, and remediate the vulnerabilities based on the risk assessment and business priorities.

20190179817, Jun 13, 2019

Feb 13, 2019

16/274306

- Armonk NY, US
Yixin Diao - White Plains NY, US
Ruchi Mahindru - Elmsford NY, US
Karin Murthy - Elmsford NY, US

G06F 16/242
H04L 12/26
G06F 16/903

In an approach to achieving consistent reporting, one or more processors receive a request to include a set of data analysis and visualization parameters in a distributed ledger, such as the blockchain fabric distributed ledger. One or more processors may determine whether the set of data analysis and visualization parameters is consistent with a set of pre-determined rules recorded in the distributed ledger. One or more processors may additionally store the set of data analysis and visualization parameters in the distributed ledger responsive to determining that the set of data analysis and visualization parameters is consistent with the set of pre-determined rules recorded in the distributed ledger. One or more processors may further generate a report of a first dataset based on the set of data analysis and visualization parameters.

20190129994, May 2, 2019

Oct 31, 2017

15/798453

- Armonk NY, US
Yixin Diao - White Plains NY, US
Ruchi Mahindru - Elmsford NY, US
Karin Murthy - Elmsford NY, US

G06F 17/30
H04L 12/26

In an approach to achieving consistent reporting, one or more processors receive a request to include a set of data analysis and visualization parameters in a distributed ledger, such as the blockchain fabric distributed ledger. One or more processors may determine whether the set of data analysis and visualization parameters is consistent with a set of pre-determined rules recorded in the distributed ledger. One or more processors may additionally perform a corrective action for the set of data analysis and visualization parameters responsive to determining that the set of data analysis and visualization parameters is not consistent with the set of pre-determined rules recorded in the distributed ledger. One or more processors may further store the set of data analysis and visualization parameters in the distributed ledger and generate a report of a first dataset based on the set of data analysis and visualization parameters.

20180248754, Aug 30, 2018

Apr 26, 2018

15/963458

- Armonk NY, US
Karin Murthy - Elmsford NY, US
Larisa Shwartz - Scarsdale NY, US

H04L 12/24
H04L 12/26
G06F 17/30
G06N 7/00
G06N 99/00

A method includes obtaining, from a service management database, one or more change tickets and one or more incident tickets relating to an information technology infrastructure, defining one or more change-incident pairs based on linkages between the incident tickets and the change tickets, identifying, from the change-incident pairs, one or more dimensions affecting outcomes of implementation of one or more change types, generating at least one recommendation for altering implementation of subsequent changes of a given change type to the information technology infrastructure based on the identified dimensions, applying the at least one recommendation to the implementation of one or more subsequent changes of the given change type to configuration items in the information technology infrastructure, monitoring the information technology infrastructure to determine outcomes of the subsequent changes of the given change type, and modifying the at least one recommendation responsive to the monitoring.

20180114173, Apr 26, 2018

Oct 20, 2016

15/298384

- Armonk NY, US
Robert M. Delmonico - White Plains NY, US
Yixin Diao - White Plains NY, US
Karin Murthy - Danbury CT, US
Larisa Shwartz - Scarsdale NY, US

G06Q 10/06
G06F 7/02
G06N 99/00

A cognitive based service request dispatching system quantifies cognitive dependency of a service request and assigns the service request to maximize a value of cognitive match. A set of metrics comprising service quality index, cognitive capability score, cognitive dependency weight, and cognitive matching score are determined to quantify cognitive dependency of a service request and cognitive based assignment and dispatching of the service request.