At Cargill Inc.—one of the largest corporations in the food and agriculture business—we leverage state-of-the-art machine learning (ML) and artificial intelligence (AI) tools to enrich business decision making and gain competitive advantage in the market. AI/ML solutions find use across all the businesses of Cargill and are typically categorized into the following:
- Computer Vision
- Molecular Modeling
In this presentation, we will cover the details of the Cargill Data Science team and how we translate fundamental science into workable solutions. The discussion will encompass the typical workflow for a Cargill data scientist and will highlight some of the successful use cases that we have tackled thus far. Overall, this talk is aimed to shed light on how data science-based tools are incorporated into the ever-growing ag-tech business.
This event is sponsored by PHM, iDSC, Cargill, and iSchool