Fast to Prototype, Fast to Production: Architecting Autonomous Systems for Rapid Evolvability

In today’s competitive environment, speed is no longer optional. Autonomous system developers face mounting pressure to demonstrate prototypes in weeks, not years; to quickly evolve prototypes into reliable, scalable and secure production systems; and then to rapidly update products post-deployment. This “field fast” imperative is reshaping how systems are designed, developed, and deployed.

The pressure is particularly acute with defense systems, due to rapidly changing threats and emergent acquisition pathways. But defense isn’t alone. Across industries such as automotive, medical, and aerospace, innovators face the same paradox: how to accelerate both prototyping and the migration from prototype to production. Too often, organizations succeed at one and fail at the other — building prototypes that can’t easily evolve, or creating robust systems that take too long in the production cycle.

This webinar will explore how a data-centric architecture can provide the critical bridge from prototype to production for complex autonomous systems.

We’ll examine:

• How modular, data-centric integration enables both rapid prototyping and long-term system evolution for next-generation systems.


• Proven approaches to leveraging AI and popular platforms like DDS and ROS to quickly field prototypes.


• Best practices to reconcile architectural goals—including loose coupling and abstraction—with demanding latency, reliability and security requirements.


• How to comply with autonomy industry standards including UMAA, SOSA and AUTOSAR.

Whether you’re advancing a defense program, developing a software-defined vehicle, modernizing healthcare through surgical robotics, or more, you’ll learn a software-led architectural approach that allows you to streamline development and get to market faster.

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