The role of system engineers in high-tech machine building will change fundamentally in the coming decades. The future belongs to Artificial Intelligence. In our daily life, AI is already common practice and it will become part of our work routine as well.
The complexity of technical systems is increasing, and relatively small design decisions taken in separate disciplines (like e.g. Electronics or Mechanics) can have a significant impact on the total performance of the system. System Engineers have difficulty understanding the extent of this interminglement. Fortunately, machine learning techniques can help them to grasp the increasing complexity of system engineering.
Jim Stolze (Singularity University) will take us into the future and will show how we can gain value from data, through the concept of machine learning. Robert Hendriksen (Sioux Technologies) will show how ‘digital abstraction’ can support the system engineers of the future. In his presentation, he will take us into a world of new possibilities where everything is connected with each other and where machine learning will take our work to the next level.
More information and registration.
