Dev Conference by Neo4j
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Session Track: Graphs
Session Time:
Session description
Locating the right partners for complex, large-scale data and infrastructure management projects is a critical but tedious task. Determining a partner’s fit requires understanding a combination of expertise, skills, location, and other factors in relation to the customer for every customer. Hewlett Packard Enterprise created a graph-powered model to simplify this process for its mid-sized and large enterprise customers. The best-fit-partner model aggregates data into a knowledge graph, implements an ensemble model, and generates a curated set of partners.
Graph Data Engineer & Data Scientist, Hewlett Packard Enterprise
Lam Ho is a Graph Database Engineer and Data Scientist with Hewlett Packard Enterprise. He has been with the company since 2022. He is a graduate of the University of California, San Diego Masters of Data Science and Engineering program in 2022 and a graduate of the University of California, Los Angeles Bachelors of Arts Economics program in 2013.
