Developing a modeling culture
In addition to enhancing the classic nutritional models, the team is exploring the enormous potential emerging to develop machine learning models which can predict, forecast, and optimize animal and economic responses. The opportunity is compelling: to create decision-making tools that can serve a diverse range of customers with different needs and digitalization levels.
The team looks to develop a modeling culture throughout the Trouw Nutrition organization that enables employees to recognize the value and benefits models bring to customers, as well as their limitations. We also focus on understanding the needs of our customers across a continuum of digitalization (minimal to highly automated) to determine the appropriate modeling method.
Most important is our team’s active participation in designing, creating, and validating algorithms to more accurately assess the nutritional value of ingredients and predict the response of animals across species based on their nutritional, environmental, and health status. These algorithms will form the engine of digital tools that we intend to use as a means to an end, not the end itself.