Mitigating Risk in AI Implementations

Presented by AWS Marketplace

Speaker: Jeff Jones, Head of Revenue, Americas, poolside

Jeff Jones examines how federal agencies can manage risk when adopting AI technologies. He emphasizes the importance of understanding the source and licensing of training data, as well as deploying AI in secure environments tailored to mission requirements.

Jones highlights the role of synthetic data in overcoming limitations in training models, enabling safer and more robust AI applications. He also discusses the critical need for change management and workforce training to ensure smooth AI integration. By aligning technology adoption with organizational readiness, agencies can mitigate risks effectively.

The interview provides a forward-looking perspective on the evolution of AI, emphasizing the balance between immediate operational needs and preparing for future advancements in technology and data management.

Key Takeaways:

• Secure deployment environments and compliance certifications are critical for AI tools.
  
  
• Agencies should combine internal data with licensed AI models to maximize value.
  
  
• Synthetic data can overcome data scarcity, advancing model intelligence and capabilities.

This interview appeared in the program Speed to Mission: Accelerate GenAI Adoption Through Procurement Innovation which was released on February 4, 2025. Generative Artificial Intelligence (GenAI) is poised to revolutionize operations across federal agencies, from enhancing citizen services to bolstering national security. However, the rapid pace of AI advancements presents challenges, especially in procurement and implementation. In this special program, recorded live at AWS: Reinvent in Las Vegas, host Francis Rose engages with government and industry leaders to uncover how agencies are navigating these complexities. The program sheds light on innovative procurement methods, critical mission outcomes, and the collaborative efforts shaping AI’s future in the federal space.