The emergence of powerful, low-cost, and energy-efficient processors is quickly making it feasible to incorporate analytics capabilities into embedded systems. The ability to process data at the network’s edge (i.e. the unmanned systems themselves) provides a highly scalable distributed computing architecture for digital transformation and adds a level of intelligence to unmanned system rich for exploitation in terms of automation, autonomy, and swarm collaboration. Moreover, high bandwidth data transmission is no longer necessary for analytic processing, instead, low bandwidth processed data (e.g. identified rust and corrosion snapshots) with respective metadata (e.g. GPS, timestamp, etc.) is transmitted for further processing and fusion. As unmanned systems are equipped with the necessary resources for embeded processing no further investment is necessary when scaling up your digital blueprint.