Presented by AWS Marketplace
Speaker: John Bender, Regional Vice President for Federal, Neo4j
Bender discusses the limitations of large language models (LLMs) when used alone, emphasizing the need for knowledge graphs to provide factual, business-specific data. This approach reduces errors, improves decision-making, and increases AI adoption readiness. He also underscores the importance of optimizing procurement processes to accelerate agency adoption of knowledge graph-enhanced AI.
By combining generative AI with knowledge graphs, federal agencies can achieve more accurate, faster, and mission-aligned outcomes. This integration represents the next evolution in AI for government.
Key Takeaways:
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.