Skip to main content
Skip to footer

Mass Personalizing Citizen-Centric Smart City Services with Digital Human Twin

Arun Vijayakumar

Enterprise Architect, Research and Innovation (R&I), TCS

Srinivasan Raghavan Venkatachari

Head, Digital Citizen research program, Research and Innovation (R&I), TCS

You have these already downloaded

We have sent you a copy of the report to your email again.

How digital personas help build mass personalized public service engagement

A Digital Twin is a digital representation of physical systems, and factors real-time data for real-time decision making. This paper explores the Digital Twin concept and how it can be applied to enhance citizen-centric services in smart cities. Digital Human Twins facilitate the simulation of a digital representation of a citizen and are enriched with real-time context on orchestrated digital services – be it urban mobility or transport, social services, or wellness. The present of a Human Digital Twin helps predict any abnormal events for citizens and validates various what-if scenarios, providing the citizen with the best choice of engagement with that particular service on a mass personalized level.

Continuous learning about the citizen from past engagements, exhibited behavior, activities, feedback, preferences help to map the citizen to the most appropriate grouping called personas. Based on the persona, a further mass personalization of services thus becomes possible.

 

Related reading

TCS Research

Digital Twin of the Human Skin for In silico Testing

Article | 18 Sep 2023
TCS Research Mahesh Mynam Vamsi Krishna Garapati Dr. Naga Neehar Dingari  

New tools for optimizing Lithium-Ion Battery Performance

White Paper | 14 Jul 2023
TCS Research Sachin Kaka Hemant Kumar Rath Sudhir Bansal

Zero Trust Network Architecture: Business Security in a Digital World

White Paper | 03 Jul 2023
TCS Research SURYA GANGULY Pradipta Chakraborty Shirish Karande

How Enterprises Can Adopt Large Language Models to Innovate and Scale

White Paper | 02 Jun 2023