Model Based Design in EW

Connecting physical objects—whether machinery, wearables, or even natural elements—offers unprecedented data insights. Using AI and digital twins as tools for early decision making to acquire capabilities from the new sensor world.  These could be powerful tools to use in early market research elements such as predictive modeling, design validation and other early system engineering decision making processes specifically to improve the efficiency and effectiveness of the design and development stages. Digital twin in a simulation environment can help AOC customers to segment their customers [user, operator, commander, supervisor] based on their behavior, preferences, and needs. AOC could then tailor their marketing efforts [read – stakeholder management] to specific groups of customers, which can lead to better engagement and higher acceptance of the solution – this is the ‘marketing’ side, i.e., convincing constituent stakeholders of the viability and feasibility of the solution (and documenting it in a tailored SE set of processes).  Some ways to use digital twin and AI will be discussed at the presentation.