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Women in Tech Conference

9-12 May 2023
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  2. Sharmistha
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WOMEN IN TECH GLOBAL CONFERENCE 2023

Sharmistha Chatterjee

Executive Manager at Commonwealth Bank of Australia

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"Role of Digital Twin towards Sustainability"

Wed May 10 - 4:10 AM EDT/New York (See in local time)
Add to Calendar 05/10/2023 4:10 AM 05/10/2023 04:30 AM America/New_York #WTGC2023

"Role of Digital Twin towards Sustainability"
#WTGC2023

"Role of Digital Twin towards Sustainability"
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Session: Role of Digital Twin towards Sustainability

The talk will start with an introduction to the concept of digital twins and the role of digital twins in identifying and addressing sustainability challenges, some of which include forecasting and monitoring floods, predicting network changes and helping load distribution, and building resilience in communities and supply chain networks.

In this talk, we choose one application of digital twin to understand how it can solve live networks (be it 2G, 3G, 4G, or 5G) issues. Further, it will also focus on the architectural ecosystem with data aggregation and ML modeling techniques to create a network change detection model. The audience will get a deeper understanding of how this use case can be extended and applied in different contexts to yield model outcomes and produce real-time visualizations. Further, the talk will highlight the tools and techniques that can facilitate the monitoring of critical areas of conflict during high-impact incidents and accordingly allocate optimal resources and personnel to handle such incidents.


Key Takeaways

  • By the end of the talk, the audience will have a clear understanding on : 1. What is a digital twin and what role of a digital twin in different industries 2. How digital twins can be deployed in a scalable environment


Bio

Sharmistha Chatterjee is a Data Science Evangelist with vast professional experience in the field of Machine Learning and Cloud applications. She is currently working as an Executive Manager at the Commonwealth Bank of Australia. She has demonstrated proven experience in doing AI research and implementing scalable AI solutions for enterprises, leading to revenue upliftment of several million dollars. She is a 2X GDE, a multi-award-winning data scientist with active involvement in communities like Lean In, and GDG (Google Developer Groups).


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