Public-Private Collaboration: The Key to AI and Autonomy Success

Presented by Carahsoft & Domino Data Lab

Original broadcast date February 18, 2025

Chris Elsins, Director of Public Sector Go-To-Market at Domino Data Lab, discusses the evolving role of AI and autonomy in government digital transformation. He highlights the increasing interest in adopting innovative solutions, emphasizing that successful implementation requires iterative development rather than rigidly defined prototypes. Elsins notes that while commercial off-the-shelf solutions can provide a strong foundation, government agencies often have unique requirements that demand collaboration across a diverse set of technology partners. He also stresses the importance of scaling successful implementations across departments and using risk-based approaches to build trust in AI and autonomy. By focusing on integration, open standards, and flexibility, government agencies can drive meaningful modernization while addressing security and operational concerns.

Key Takeaways:

1. Rather than rigidly defining requirements upfront, agencies should adopt flexible development processes to refine AI and autonomy solutions based on real-world use cases.
   
   
2. While commercial solutions provide a foundation, government agencies must partner with a diverse range of vendors to address unique mission-specific needs.
   
   
3. By implementing AI and autonomy within controlled risk thresholds, organizations can demonstrate value while addressing concerns about security and operational reliability.