Challenges and considerations for using AI, ML, and chemometrics in manufacturing
1:30 PM - 2:00 PM
Manufacturing (Food and Beverage, CPG, Life Sciences, Discrete)

The extensive increase of data generation can create fantastic opportunities and also create problems during prioritization, contextualization, data transfer, security, storage, and information gathering. Data is, as we all know, more than just numbers. For many companies and organizations, one of the hurdles is how to store, use, and prioritize the vast amount of data that this adds to the existing database and process historians on-premises and in the cloud. The use of AI, ML, and chemometrics can significantly help—if you know how to navigate the landscape. Sartorius has for many years been driving and developing data analytics techniques to help users understand and use data to its full potential.