Event details

Time Available

9:00 a.m. CT
10:00 a.m. ET

Date Available

August 20, 2026

Featured Speakers

Tim Wheeler – Senior Director of Data Platforms, CME Group
Sarah Havala – Global Insights Lead, global commodity firm
Rajiv Chandrasekaran – CEO and Co-founder, Quantum Data Technologies

Tune in for a deep-dive on the expanding influence of innovative technologies on the commodity industry today. Hear the perspective of a leading firm on what to consider when evaluating and applying emerging tools to optimize day-to-day business responsibilities.

Then hear from experts at CME Group and Quantum Data Technologies as they explore how DataMine Machine Learning Service can help commercial firms transform their approach to historical market data and turn it into actionable insights.


What you will learn
  • Best practices: Considerations for how best to approach integrating technology to enhance forecasting and data-based decision-making.
  • Seamless integration: How to capitalize on years of DataMine historical datasets to train highly accurate, adaptive models.
  • Agility at scale: How to build and backtest models instantly to stay ahead of shifting commodity and financial signals.

About the speakers

Tim Wheeler | Senior Director of Data Platforms, CME Group

Tim leads the evolution and modernization of CME Group’s DataMine platform. Drawing on over 16 years of FinTech expertise, he focuses on transforming complex data into scalable solutions for global market participants.

Sarah Havala | Global Insights Lead, Mars Petcare

With a decade of specialized experience in commodity forecasting and risk management, Sarah champions the adoption of AI machine learning.

Rajiv Chandrasekaran | CEO and Co-founder, Quantum Data Technologies

A veteran data scientist, Rajiv drives the technical vision at Quantum Data Technologies. He specializes in advancing automated machine learning for real-time predictive analytics, helping enterprises reduce deployment costs and enhance critical decision-making.

 

For questions, please contact a Data expert.

All examples in this report are hypothetical interpretations of situations and are used for explanation purposes only. The views in this report reflect solely those of the author and not necessarily those of CME Group or its affiliated institutions. This report and the information herein should not be considered legal advice, investment advice or the results of actual market experience. Where regulatory matters are summarized, they represent CME Group’s good faith understanding of the applicable requirements.

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