Dev Conference by Neo4j
Session Track: Graphs
Session Time:
Session description
Miller’s Law states that the human brain can hold about 7 ± 2 pieces of information in working memory. Thus effective data analysis requires efficient “chunking” of information—spatial, temporal, hierarchical, and relational. The speaker will draw on decades of experience in data analysis and modeling to demonstrate “chunking” strategies using graph schema, data capture, analysis, and visualization with examples. One specific example will illustrate using LLM to process documents into a knowledge graph stored in Neo4j, then applying chunking to reveal insights.
Founder & CEO, Kineviz
Weidong Yang, Ph.D., is the founder and CEO of Kineviz, a San Francisco-based company that develops interactive visual analytics based solutions to address complex big data problems. His expertise spans Physics, Computer Science and Performing Art, with significant contributions to the semiconductor industry and quantum dot research at UC, Berkeley and Silicon Valley. Yang also leads Kinetech Arts, a 501(c) non-profit blending dance, science, and technology. An eloquent public speaker and performer, he holds 11 US patents, including the groundbreaking Diffraction-based Overlay technology, vital for sub-10-nm semiconductor production.
