Tata Consultancy Services Limited

Bhaskar Pawar

Karan Bhavsar

Harsh Vishwakarma

Avik Ghose

Srinivasu Pappula

Sanjay Madhukar Kimbahune

Pankaj Harish Doke

Sylvan Lobo

Vivek Chandel

Sujit Devkar

Sundeep Khandelwal

Sujit Shinde

Nasimuddin Ahmed

Akhilesh Srivastava

Shivam Singhal

Rajesh Urkude

Avijit Samal

A method and system that allows on-the-fly synthesis and evaluation of services a scale has been provided. The method and system provide a mechanism where the service offering and their price points are accessible in a machine format and allow themselves to be lent to synthesize new service offerings with budgetary constraints, within the parameters of the predefined time windows. The system allows both a service provider and a service consumer to use a shared screen environment for service synthesis and valuation with the service provider playing the role of navigator. The system comprises of re-routing and navigating a plurality of nodes in the service composition graphs based on specified optimization parameters as chosen by the service consumer and tuned by the service provider. The method comprises of generation of the graph and graph traversal algorithms for along with service composition nodes and their specifications.

Method and system for service synthesis and evaluation using patterns

Non-communicable diseases (NCDs) are the pandemics of modern era and are generating huge impact in the modern society. Conventional methods are inaccurate due to a challenge in handling data from heterogenous sensors. The present disclosure is capable of tracking fitness parameters of a user even with heterogenous sensors. Initially, the system receives a raw data from a plurality of heterogenous sensors associated with the user. The raw data is further transformed into a metadata format associated with the corresponding sensor. The transformed data is temporally aligned based on a time based slotting. An algorithm pipeline corresponding to a disorder to be analyzed is selected from a Directed Acyclic Graph (DAG) based on a sensor metadata and a plurality of algorithm metadata corresponding to a plurality of algorithms stored in an algorithm database and an algorithm pipeline. The corresponding disorder is analyzed using the algorithm pipeline.

Method and system for digital biomarkers platform

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Thane, India

Bhaskar Pawar