Operationalizing AI: Knowledge Graphs and AI Engineering

Following a November session on AI Agents, Finch AI and Carahsoft presented the second webinar in an educational series on operationalizing AI – Knowledge Graphs and AI Engineering. Why? Because generative AI and large language models are gaining in capability, utility and popularity – but what underpins their success in meeting the mission is less well known.

Watch this session on the role of knowledge graphs to connect entities with non-obvious relationships. During this webinar we uncovered how AI is changing the way knowledge graphs are built, maintained and updated. Moreover, the discussion touched on how AI agents are making it easier than ever to ensure that your knowledge assets are current, trustable and actionable for your specific mission.

Attendees of this webinar learned:

• How to dynamically update your knowledge graph
• How to support use cases that demand up-to-the-minute, validated information
• The role of AI engineering in supporting these demands
• How AI engineering is different and complementary to traditional software engineering
• The essential roles on AI engineering teams focused on entities and relationships