What is the current status and what are the next steps for PI Innovation?
We started in October of last year, and by now have conducted interviews as well as internal and external workshops that have given us answers to the following questions: What does innovation mean? How do we deal with innovation at PI? How can our organization interface with PI? How can we involve and motivate employees to shape the company in a way that promotes sustainable innovation?
We will start with headquarters in Karlsruhe by implementing certain processes here and, if they work, we want to roll them out at other locations. PI Karlsruhe must not become a secluded island; we want to be globally interconnected!
What do the processes or measures you want to implement at PI look like?
First, we will implement our organizational structures in the subsidiaries. We will set up an Innovation Board that is made of employees who make sure that the innovation culture can be mapped out at the subsidiaries: The board manages ideas from various sources and makes sure that the developmental processes are transparently mapped and ultimately implemented.
Controlling is done with the help of a strategic radar that records all projects which reach us from our network worldwide. This is how we literally keep projects on the radar, from the initial idea to product maturity.
Innovation labs are an additional key element for our project: Agile labs for certain developments at the respective locations, in which the ideas retained on the strategy radar are implemented independent of day-to-day business.
In addition, we are going to carry out workshops, improve the PI activities in important networks, and organize events such as Hackathons or Tech Dinners.
Which trends do you consider relevant for PI?
Universal topics such as Industry 4.0, Artificial Intelligence, and Digital Factory are a part of digitalization. Medical and communication technology are ultimately markets in which we see many promising trends. For the PI Group, automation is, of course, important, specifically in areas such as machine-to-machine, predictive maintenance, and self-adjusting controllers.