The concept of the “golden batch” has been around for a long time. With artificial intelligence, however, it is now possible to more easily identify the characteristics of that coveted golden batch so that it can be more easily reproduced repeatedly and at the highest quality. Methods have even been developed that enable detection of negative trends on running batches so that they can be saved rather than being scrapped!

In this episode of Digitalization Tech Talks, Don Mack and Jonas Norinder talk to two experts in artificial intelligence, Ulrike Schulschenk and Moh Elnaamani, about how to apply it to batch production processes.

Show notes:

• Video (Siemens): The missing piece of your batch production (https://bit.ly/3MXOx1a)

• Website (Siemens): Batch Performance Analytics (https://sie.ag/3Sl8IHl)

• Article (Siemens): How can AI take Process Industries into a new age? (https://sie.ag/3Df08FO)

 Contact us:

• Ulrike Schulschenk ([email protected])

• Moh Elnaamani ([email protected])

• Jonas Norinder ([email protected])

• Don Mack ([email protected])