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- 29 January, 2025
Knowledge Graphs in Modern Hybrid AI Architectures
Dr. Jans Aasman joined Larry Swanson on his podcast – Knowledge Graph Insights
Hybrid AI architectures get more complex every day. For Jans Aasman, large language models and generative AI are just the newest additions to his toolkit.
Jans has been building advanced hybrid AI systems for more than 15 years, using knowledge graphs, symbolic logic, and machine learning – and now LLMs and gen AI – to build advanced AI systems for Fortune 500 companies.
They talked about:
- Jans’ knowledge graph and neuro-symbolic work as the CEO of Franz
- the crucial role of a visionary knowledge graph champion in KG adoption in enterprises
- the two types of KG champions he has encountered: the magic-seeking, forward-looking technologist and the more pragmatic IT leader trying to better organize their operation
- the AI architectural patterns and themes he has seen emerge over the past 25 years: logic, reasoning, event-based KGs, machine learning, and of course gen AI and LLMs
- how gen AI lets him do things he couldn’t have imagined five years ago
- the enduring importance of enterprise taxonomies, especially in RAG architectures which business entities need to be understood to answer complex business questions
- Jans’ approach to neuro-symbolic AI, seeing it as a “fluid interplay between a knowledge graph, symbolic logic, machine learning, and generative AI”
- the power of “magic predicates”
- a common combination of AI technologies and human interactions that can improve medical diagnosis and care decisions
- Jans’ strong belief in keeping humans in the loop in AI systems
- Jans’ observation that technology and business leaders seeing the need for “a symbolic approach next to generative AI”
- Jans; take on the development of reasoning capabilities of LLMs
- how the code-generation capabilities of LLMs are more beneficial to senior programmers and may even impede the work of less experiences coders
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