Graph Chat with Paco Nathan on AI as a Practice, Not a Product

Bryce Merkl Sasaki (Head of Marketing at gdotv) sits down with the "Gandalf of Graph Technology" himself, Paco Nathan (Senior DevRel at Senzing), at the Open Data Science Conference. Paco is a pioneer in neural networks and NLP since the 1980s, and a leading voice in the MLOps and Graph communities.

In this chat, Paco cuts through the current hype bubble to discuss how graph technologies and entity resolution are solving high-stakes, real-world problems. From interdicting $3 trillion in dark money and human trafficking to fixing systemic data disconnects in government agencies through the NIEM semantic standard, this conversation explores the profound human impact of well-engineered data.

Key Topics:

• Entity Resolution (ER): How connecting data points protects real people in the legal and financial systems.
• Semantic Standards: Using NIEM and SKOS for better context engineering
• Why the biggest bottleneck in AI isn't the math—it's designing UX & visualizations that humans can actually use.
• The AI Bubble: Paco’s perspective on the current industry jitters vs. the tangible tech that is ready for production.