Tata Consultancy Services Limited

Sankaranarayanan Viswanathan

Kaustav Bhattacharya

Narendran Sivakumar

Radhika Kannan

Prasenjit Das

Vinay Kulkarni

Souvik Barat

Senthilvelan Natarajan

Arunkumar Sekar

Rajeev Mullakkara Azhuvath

Rajish Radhakrishnan

Vishnu Madhu

Prashant Kulmar

The disclosure generally related to a learning-based modelling of an emergent behavior of a complex system. Existing decision-making at complex systems primarily relies on qualitative approaches, which often results in inaccurate outputs. The disclosed system includes a digital twin of the complex system and a digital twin of an environment of said complex system, and captures an interaction and dynamic behavior of agents of the digital twins. The agents of the digital twins are simulated and modelled using learning-based models such as RL and genetic algorithms that learns the behavior (i.e. actions and their outcomes) over a period of time. Hence, the agents (or actors) of the digital twins are dynamic in nature. The actor-based bottom up simulation approach is capable of producing sufficient insight for effective decision making prior to implementation.

Learning based modeling of emergent behaviour of complex system

Conversational systems are intelligent machines that can understand language and conversing with a customer in writing or verbally. Embodiments herein provide a method for generating a universal conversational system using an ensemble of chatbots and a universal conversational system that adopts wisdom of crowd manifesting as an ensemble of chatbots. The ensemble of chatbots takes responses from NER and rule based conversational models. The knowledge based conversation models where complex queries that require question and answer, and the ensemble of generative knowledge chatbots are relying on a pre-trained models. The pre-trained models are complemented by domain specific training to answer queries that fall outside rule-based chatbot or knowledge graph-based conversation bot capability. The universal conversational system capable of building online virtuous automated learning loop where the models learn from each other and also from human response as wisdom of crowd.

Crowd wisdom based universal conversational system

A method and a system for pre-emptive deviation detection for a telecom process flow using digital twin. The proposed method and system pre-emptively detects critical failures in the telecom process flow even before they occur by pre-emptively detecting deviations based on digital twin. The proposed pre-emptive deviation is dynamically detected based on digital twin wherein, a simulated digital twin of telecom process flow is compared with a simulated predicted telecom process flow. Further based on pre-emptively detected deviation, notifications are displayed to execute preventive measures to ensure critical failures are avoided.

Method and system for pre-emptive deviation detection for telecom process flow using digital twin

This disclosure relates generally to digital telecommunications, and more particularly to systems and methods for generating and managing composite digital identities. In one embodiment, a system and method for generating and managing digital identities is disclosed. The method includes receiving, from an identity seeker, a request having an identifier associated with an entity, the request includes a context associated with a transaction. An encrypted token corresponding to the identifier is identified from encrypted tokens stored in a database and is further decrypted to obtain context matrix on which analysis is performed with respect to the request. An activity status associated with the transaction is determined based on analysis to generate composite provisional digital identity (CPDI) specific to the transaction. Based on the determined activity status, one of is performed: (i) obtaining a verification message from the entity, wherein the verification message pertains to the transaction performed by entity, and generating a CPDI of the entity based on the verification message; or (ii) generating a composite provisional digital identity of the entity for authorizing the transaction.

Systems and methods for generating and managing composite digital identities

The present disclosure discloses system and method for generating hyper-personalized recommendations from the enterprise and its partner/(s) product offerings space for the users based on dynamic persona creation, influenced by a dynamic context capture and context-chaining mechanism triggered by the past and current activities of a user or the time of occurrence of an event. The User data may be processed to generate a user persona, which may further vary dynamically based on his current and historic subscription/consumption/association data. The context trigger enables the system to generate recommendations even before the need relevant to the context is realized by the user. Thus, the system is capable of generating real-time dynamic, context-driven, hyper-personalized recommendations, based on the enterprise requirements.

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Chennai, India

Sankaranarayanan Viswanathan