Systems engineering is a complex, multilayered field that continues to grow in importance across industries. To help illustrate the significance and complexity of systems engineering, we will discuss what systems engineering is, why it touches all of today’s engineering disciplines, and which skills are needed to become an effective systems engineer.

Data interoperability is crucial to Model Based Definition (MBD) processes. Without interoperability, 3D models – and the digital solutions they support – become disconnected and perpetuate the silos of information and duplicative processes that they could be resolving. While interoperability is necessary for full value realization, there are challenges to achieving it.

Agile is a mindset and approach to project management that supports high performing cross functional teams in working as efficiently as possible. Agile frameworks are generally very segmented and consist of multiple phases. This structured strategy helps teams with project planning and allows for more quantifiable progress tracking. Additionally, Agile practices address common issues that take place within collaborative assignments, offering strategies that work to mitigate these issues while simultaneously helping unlock a team’s full potential.