Paypal, Inc.

Kyndryl, Inc.

Sreeram Vasudevan

George Chen Kaidi

Li Hua Lim

Vipul Jain

Jiaming Li

Kim Dung Bui

Bipin Kesapur

Deepak Buddha

Monisha Oberoi

Rajasekaran Radhakrishnan

Ryan Moses Cayamanda

Lorinne Yoong

Ashwin Ganesh

An example method includes receiving a request for a transaction; associating the request with a user; receiving, from the user, identification information; retrieving, from a database, first stored authentication information associated with the user; retrieving, from a distributed ledger, second stored authentication information associated with the user; and determining that the received authentication information matches the first stored authentication details and the second stored authentication details and, in response, outputting, by the computing system, a proof of authentication to enable the transaction.

Selection of electronic transaction processing channel and multi-factor user authentication

A method according to the present disclosure may include receiving, from a user device, an update associated with a document, generating an update log event based on the update, appending metadata to the update log event, the metadata indicative of a property of the update, storing the update log event with at least one other log event to generate a plurality of log events, receiving an indication of a type of compression, labelling metadata of each of the plurality of log events based on the indicated type of compression, and compressing the plurality of log events based on the labels.

Extensive-dimensional solutions for data lineage

There are provided systems and methods for configurable storage resource usage through a multi-phase data processing pipeline for data storage efficiency. A service provider may provide online digital computing services, such as electronic transaction processing, account, and the like through online platforms and digital content that may be loaded and served on webpages and through applications of the service provider. The service provider may process and serve data, which may be stored in various data storages and databases of the service provider. The service provider may configure and optimize storage resource usage by processing data through a multi-phased processing pipeline that analyzes the data for reductions in data storage size, duplications, and/or storage times to convert data into a more efficient structure. This may include converting the data to smaller data pieces, deduplicating the same or similar data, or limiting storage in resource intensive data stores.

Configurable storage resource usage through a multi-phase data processing pipeline for data storage efficiency

Methods and systems are presented for providing a data control framework that enables storing, sharing, and transferring of data in a secure manner. Data files stored in data repositories are scanned. Content associated with different section of each data file is analyzed, and each section is tagged with a sensitivity level based on the content and a subject matter derived for the data file. Each data file is also assigned to a clearance classification based on an expected viewer of the data file. When sections from a first data file is being transferred to a second data file, a data control mechanism is triggered. If a particular section from the first data file is incompatible with the second data file, the data control mechanism may prevent the particular section from being transferred to the second data file, while allowing the remaining sections being transferred to the second data file.

Dynamic and modular data classification engine

In an approach to interpreting and summarizing online terms of use, a computer receives a terms of use agreement from a data source and a request for interpretation of the terms of use agreement from a user. A computer categorizes the terms of use agreement into one or more categories based on a type of data source of the terms of use agreement. A computer ranks one or more words in the terms of use agreement based on the categorization and on one or more additional terms of use agreements of the type of data source. A computer generates a summary of the terms of use agreement based on the ranking. A computer displays the summary of the terms of use agreement to the user. A computer receives input from the user associated with consent to the terms of use agreement. A computer stores the input.

Online terms of use interpretation and summarization

Growing community of inventors

Singapore, Singapore

Sreeram Vasudevan