Meetu
Malhotra
Data Analytics Principal at S&P Global
"ROI‑First AI: Turning Tokens Into Value Through Cost and Performance Optimization"
"ROI‑First AI: Turning Tokens Into Value Through Cost and Performance Optimization"
Wed May 13 - 4:30 PM EDT/New York (See in local time)
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05/13/2026 4:30 PM
05/13/2026 04:50 PM
America/New_York
#WTGC2026
"ROI‑First AI: Turning Tokens Into Value Through Cost and Performance Optimization"
#WTGC2026
"ROI‑First AI: Turning Tokens Into Value Through Cost and Performance Optimization"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"ROI‑First AI: Turning Tokens Into Value Through Cost and Performance Optimization"
"ROI‑First AI: Turning Tokens Into Value Through Cost and Performance Optimization"
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Session: ROI‑First AI: Turning Tokens Into Value Through Cost and Performance Optimization
This presentation explores how AI costs accumulate across the lifecycle—during training, inference, and in environmental impact—and why unmanaged spend quickly erodes ROI. It then outlines practical, evidence‑based techniques to cut compute, optimize inference, and reduce carbon footprint without sacrificing model quality. By the end, participants will leave with a clear checklist they can immediately apply to design AI pipelines, benchmark their current systems, and make more informed trade‑offs between accuracy, latency, and cost.Key Takeaways
- The session will cover the stages where AI consumes cost, at oversized training runs, inference, or underused infrastructure and how these costs impact project’s ROI.
- Next, it will cover strategies to cut tokens, GPU, and storage costs through better prompt design, model and hardware choices without sacrificing the accuracy and other performance measures.
- Session will also cover how AI also has a carbon and water cost and pick up simple ideas for green algorithms and deployments that make your systems a bit more planet‑friendly.
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), Chair IEEE Women in Engineering Charlotte Affinity group, and member of the StemUp mentoring network. I am actively involved in publishing, peer-reviewing, writing tech books and articles, and speaking engagements.