Session 2: Simulation

Systems continue to reach new heights of complexity and autonomy. They seamlessly intertwine computational algorithms and physical components, providing organizations tremendous opportunity while exposing them to significant risk. The challenge is that while our systems have become more interconnected and intelligent, our development methods have not. We are not keeping pace through in-kind integration and augmentation of our systems engineering methods.

While most organizations leverage models to inform their development process, they are typically integrated through a traditional document-based approach, which is fragmented, slow, and error-prone, lacking the agility and scalability required today. Other organizations are becoming more digitally connected and integrated; however, the approach is often ad-hoc, costly, brittle, and lacks enterprise scalability. The situation has left many organizations asking about new strategies to overcome the apparent mismatch between the complexity of the systems and our ability to manage and mitigate the associated risks.

Digital Engineering is now the fundamental approach pursued across industry and government domains to address system complexity and provide the order of magnitude improvements called for by today’s dynamic environment and systems. While models underpin the path forward to apply advanced methods and enable the digital enterprise to respond with the necessary speed, scale, and agility, the integration and augmentation challenges still exist and must be addressed.

This presentation will outline some of the fundamental drivers for Digital Transformation, why Digital Engineering is the key to the broader Digital Transformation, and share some best practices, lessons learned, and activities underway to help pave the path forward to accelerate the realization of Digital Engineering.