Category: Technology

We showed that when you are early in your digitalization journey where you only have access to manipulated variables (e.g. sugar feed rate) and the outcome (e.g. yield), you......

For many batch processes (e.g. in Life Sciences, Food & Beverage), the Design of Experiments (DoE) is usually conducted before scaling up to production...

For industries like Life Sciences, it is challenging to collect a large amount of data with high quality that is needed for machine learning and autonomous control applic...

This isn’t a comparison between Apache Spark vs. Dask. But if you are interested in that, Dask is humble enough to include that in their......

The devil is in the data. Industrial data is known to be one of the most complex data forms. We experienced it first-hand building a Near Real-Time......

Techniques like PID control or MPC can track single or multiple setpoints effectively. However, it remains a great challenge to adaptively find the optimal setpoints,......

AI systems are becoming available that automate many of the machine learning tasks that could previously only be performed by experienced data scientists. Using these OT-focused AI platforms, engineer...