Ravindra B Kulkarni, 5416908 Silver Crest Ln, San Diego, CA 92127

2003007, Apr 17, 2003

Jun 12, 2002

10/167818

Basab Dattaray - Portland OR, US
Ravindra Kulkarni - Beaverton OR, US

G09B003/00

434/350000

A distributed learning system includes a server configured to store and deliver knowledge units, wherein said knowledge units comprise interactive content. A user system is configured to selectively connect to said server over a network and to receive and store said knowledge units. The user system includes a browser and a run-time engine configured to interoperate with said Web browser to activate said Knowledge Units. In accordance with another aspect of the present invention, a Knowledge Unit Builder (KUB) is configured to allow authors to create Knowledge Units comprising interactive content.

2021037, Dec 2, 2021

May 26, 2020

16/884003

- Mountain View CA, US
Mark Joseph HUGHES - San Diego CA, US
Ravindra KULKARNI - San Diego CA, US

INTUIT INC. - Mountain View CA

G06F 21/62
G06F 21/60
G06F 21/78
G06F 16/14

An encrypted database system includes a memory storing a database comprising a plurality of logical structural elements each respectively including an unencrypted fuzzed value and encrypted sensitive data formed by encrypting a sensitive data value. The system also includes a processor in communication with the memory and configured to form the plurality of logical structural elements and store the plurality of logical structural elements in the memory. Forming a logical structural element comprises generating the unencrypted fuzzed value for the sensitive data value, encrypting the sensitive data value, and storing the encrypted sensitive data value and the unencrypted fuzzed value in the same logical structural element in the database. The unencrypted fuzzed value is within a predetermined value range and is different from the sensitive data value.

2019016, May 30, 2019

Nov 29, 2017

15/825832

- Mountain View CA, US
Yao H. Morin - San Diego CA, US
Mustafa Iqbal - San Diego CA, US
Deepen Prashant Mehta - San Diego CA, US
Ralph Tice - San Diego CA, US
Ravindra Kulkarni - San Diego CA, US
Ganesh Kannappan - Bangalore, IN

Intuit Inc. - Mountain View CA

G06F 17/30
G06F 21/62
G06N 99/00

A system and method for use with a data management service provides aggregated statistics derived from a large amount of user data extracted from one or more transaction management systems. The aggregated statistics are based on client queries from client systems. The queries request statistical information about a queried user grouping. An input interpreter module uses machine learning to modify the queried user grouping into a plurality of improved user groupings. A statistics calculator module performs a set of calculations on the user data based on the improved user groupings, and returns the results to an output preparer module. The output preparer module uses machine learning to determine which aggregated statistic to return to the client system.