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WOMEN IN TECH GLOBAL CONFERENCE 2025

Meetu Malhotra

Researcher at Harrisburg University of Science and Technology

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"Greener Bytes: Exploring the Environmental Impact and Solutions for LLMs"

Wed May 21 - 8:50 AM EDT/New York (See in local time)
Add to Calendar 05/21/2025 8:50 AM 05/21/2025 09:10 AM America/New_York #WTGC2025

"Greener Bytes: Exploring the Environmental Impact and Solutions for LLMs"
#WTGC2025

"Greener Bytes: Exploring the Environmental Impact and Solutions for LLMs"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
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Session: Greener Bytes: Exploring the Environmental Impact and Solutions for LLMs

In an era where technology and sustainability must coexist, large language models (LLMs) have emerged as transformative tools across various industries, from healthcare to finance, education to entertainment. This presentation delves into the multifaceted landscape of LLMs, beginning with an introduction to their capabilities and diverse applications. As we explore the innovative use cases that highlight the profound impact of LLMs, we also confront the pressing challenges they pose, particularly regarding energy consumption and carbon emissions. With the increasing deployment of LLMs, understanding their environmental footprint becomes necessary. Through this presentation, I aim to foster a deeper awareness of this issue and outline a roadmap for minimizing the environmental impact of LLMs while maximizing their potential.


Key Takeaways

  • The session will highlight the often-overlooked carbon footprint associated with everyday interactions with LLMs, emphasizing that even simple queries can have environmental implications.
  • The session will emphasize the importance of collective responsibility among researchers, developers, and users to ensure that the advancement of AI technologies aligns with sustainability goals.


Bio

I am a researcher, pursuing a PhD in Data Science from Harrisburg University of Science and Technology, PA. I am also working as Data Analytics Principal at S&P Global. I hold about 17+ years of experience. I earned my master’s in data science from UNC Charlotte (4/4 GPA). I am a member of the honor society of Phi Kappa Phi, IEEE (Senior member), ACM, IAENG, AAAI, and the StemUp mentoring network. I am actively involved in publishing, peer-reviewing, writing tech books and articles, and speaking engagements.

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