White Paper: Optimize Sugar Production with AI
Sugar manufacturers are embracing digital transformation. Many have started this journey by increasing the amount of data collected at sugar mills and in the sugar production process. However, data do not generate value on their own and sugar manufacturers seek to apply AI on top of the data to improve operational decisions. This AI-based approach improves the mill’s ability to dynamically optimize operations against changing conditions and improves individual operator performance.
In this white paper, you will learn about:
- Challenges that sugar manufacturers are facing, including dynamic operating environments, siloed data, and varying operator experience
- How incorporating AI into operator workflows drives continuous process optimization and improvement
- Key components of an AI-enabled optimization approach
- Real-life examples of sugar manufacturers maximizing yield with AI