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In this episode of the Graph Geeks in Discussion podcast, join host Amy Hodler and special guest Paco Nathan as they unpack the latest trends in AI and graph technology. They dive into insights from recent conferences, highlighting a shift toward practical, programmatic uses of generative AI within the software development lifecycle. Paco explains how companies are moving beyond simple code generation to focus on real-world applications like fault detection and root cause analysis. The conversation also explores the rise of hybrid AI—combining neural networks with symbolic systems like knowledge graphs—to create more efficient and explainable models. Whether you're a developer, data scientist, or just curious about the future of AI, this episode offers a deep dive into the innovations driving the industry forward, from the promise of neurosymbolic AI to the practical use cases of Graph RAG.
By Amy Hodler3.7
33 ratings
In this episode of the Graph Geeks in Discussion podcast, join host Amy Hodler and special guest Paco Nathan as they unpack the latest trends in AI and graph technology. They dive into insights from recent conferences, highlighting a shift toward practical, programmatic uses of generative AI within the software development lifecycle. Paco explains how companies are moving beyond simple code generation to focus on real-world applications like fault detection and root cause analysis. The conversation also explores the rise of hybrid AI—combining neural networks with symbolic systems like knowledge graphs—to create more efficient and explainable models. Whether you're a developer, data scientist, or just curious about the future of AI, this episode offers a deep dive into the innovations driving the industry forward, from the promise of neurosymbolic AI to the practical use cases of Graph RAG.

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