Undoubtedly, AI will open many new use cases and options, but as for any other new application we need to understand its boundaries and pre-requisites. Our thesis is, that not technology is defining the success of AI implementations rather than the condition of the general culture of data management.

Our idea to build that from a simple and easy starting point. Educating about how to connect the various applications to one overarching data driven eco system will take time, but ultimately build a sustainable data backbone. 

Building this on top of our established AVEVA software landscape may ease the transition into this new world and bring additional benefit to the existing environment.