WhyHow.AI’s talk at the 3rd Annual Industrial AI Conference ‘24

Tom Smoker, Co-Founder at WhyHow.AI, spoke in September 2024 at the 3rd Annual Industrial AI Conference about Multi-Agent Knowledge Graph Systems, and how WhyHow.AI is bringing about a world where your experts never retire.

As requested by a few folks, here is the link to slides for the talk.

Overview Agenda of the talk:

• What is easy about graphs
• What is hard about graphs
• Why we use multi-agent systems
• What problems we see with multi-agent systems
• What modular knowledge graphs mean and how they give structural grounding
• How modular graphs aid in debugging and building accurate systems
• Examples of multi-graph multi-agent systems in manufacturing, healthcare, and mining use-cases.

WhyHow.AI’s Knowledge Graph Studio Platform (currently in Beta) is the easiest way to build Agentic & RAG-Native Knowledge Graphs, combining workflows from developers and non-technical domain experts.

If you’re thinking about, in the process of, or have already incorporated knowledge graphs in RAG for accuracy, memory and determinism, we’d love to chat at team@whyhow.ai, or follow our newsletter at WhyHow.AI. Join our discussions about rules, determinism and knowledge graphs in RAG on our Discord.