In a changing world marked by the transition from legacy systems to AI-enabled futures, the optimization of reliability, maintainability, and safety — augmented by advanced data analytics and emerging artificial intelligence technologies — is essential for achieving resilient and secure outcomes across all sectors. Industries increasingly depend on these interconnected principles to minimize downtime, control costs, ensure operational continuity, and safeguard human and system integrity amid rapid technological evolution. Academia plays a pivotal role by advancing fundamental research, developing innovative methodologies, and bridging the gap between traditional engineering practices and AI- driven approaches. Government agencies provide critical leadership by establishing rigorous standards, guidelines, and policies that integrate reliability, maintainability, and safety into acquisition processes, while promoting the adoption of AI and digital tools to modernize legacy infrastructure and enhance mission assurance in high-stakes environments. Together, these collaborative efforts across industry, academia, and government are shaping a future where systems are not only robust and sustainable but also adaptive to the challenges of an AI-transformed landscape.

We invite you to share interesting theoretical or practical findings of your research, engineering case studies, success stories, lessons learned, R&M based analyses and simulations, or R&M discoveries at RAMS® 2027 in St. Petersburg. Tell us how you are designing, optimizing, and supporting systems (both hardware and software) through the execution of RAMS® disciplines. RAMS® is the premier forum for sharing your experience, knowledge, and road maps to success. Make your contribution to the advancement of the RAMS disciplines and enjoy participating in the rich exchange of ideas and solutions. We want you to contribute your unique experience to our synergistic symposium sponsored by eight professional societies. Start planning to submit your paper or tutorial now.  More…