Sap Se

Raghavendra Deshpande

Hartmut K Vogler

Kefeng Wang

Aaby Sivakumar

Priyanka Gupta

Prakash Ponshankaarchinnusamy

Rashmi Rk

Gurinder Bahl

Sonali Jha

Mamatha M Raj

Andreas Doehrn

Kumar Rishav

Anil Kumar R

Thakur Nishant Singh

Rathnakumar G

Srivatsan Santhanam

Nakul P Shenoy

Shruthi A R

Saurabh Srivastava

Muthuraman M

Vivek John Monteiro

A method of enhancing one or more fields of a master database record based on a consumption of one or more data points provided via a third-party data subscription service is disclosed. An aggregated view corresponding to a master database record is accessed. The aggregated view identifies correspondences between the one or more fields of the master database record and the one or more data points provided via the third-party data subscription service. Based on a determination that one or more consumption criteria are met, the one or more data points are consumed and stored in a central database. The one or more fields of the master database record are updated based on the one or more consumed data points. The enhanced master database record is provided via a network to one or more computerized processes associated with one or more consumers of the enhanced master database record.

Data cloud&#x2014;platform for data enrichment

Various embodiments of systems and methods to dynamically retrain prediction models based on real time transaction data are described herein. In one aspect, real time application data and status data associated with an entity are obtained. The obtained application data is inputted to a prediction model to produce an assessment of a risk. The obtained status data with the assessed risk are compared. When the obtained payment status data does not match the determined risk, the prediction model is retrained.

Dynamically retraining a prediction model based on real time transaction data

According to some embodiments, a method and system provides receiving a list of a plurality of conversations, each of the conversations associated with a common set of characteristics and each of the conversations having associated conversation details; presenting at least a portion of the list of the plurality of conversations in a user interface, each of the conversations included in the presented portion of the list being separately represented; receiving a selection of a plurality of the conversations included in the presented portion of the list; and presenting, simultaneously and grouped together in the user interface, conversation details associated with each of the selected plurality of the conversations, separate and apart from the presented portion of the list.

Conversation explorer with split navigation user interface

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Bengaluru, India

Raghavendra Deshpande