speaker-info

Paco Nathan

Derwen.ai Founder, O'Reilly Author

Machine learning and knowledge graphs are a dynamic duo, and few people have more experience in this than Paco Nathan. Paco explores the best ways to mix Data Science and Machine Learning with Knowledge Graphs.

Known as a “player/coach”, Paco has expertise in data science, natural language processing, machine learning, cloud computing; 35+ years tech industry experience, ranging from Bell Labs to start-ups. Consulted the White House and WEF on AI, worked on data pipelines and Jupyter notebooks, built knowledge graphs for O’Reilly Media. Co-chair Rev. Advisor for Amplify Partners, Deep Learning Analytics, Recognai, Data Spartan, Primer.

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My Sessions

Graph Realities

Nodes Room

Graph applications were once considered “exotic” and expensive. Until recently, few software engineers had much experience putting graphs to work. However, the use cases are now becoming more commonplace. This talk explores a practical use case, one which addresses key issues of data governance and reproducible research, and depends on sophisticated use of graph technology. […]

Nodes Track
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From Data Science to AI via Graph Analytics

Nodes Room

Until recently, few people had much experience putting graphs to work — not beyond university homework based on Dijkstra’s algorithm or calculating centrality. Imagination filled gaps where direct experience was rare. Today, however, graph applications are becoming more commonplace. They don’t require the enormous scale of social networks. Many interesting graph use cases fit within […]

Nodes Track
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