Dmytro Dolgopolov is a Senior Technology Leader with over 20 years of experience in delivering software solutions. The last several years he has been focusing on storing, discovering and analyzing various regulatory text corpora. He currently leads the team of researchers and engineers that apply various AI/ML techniques for regulatory review of unstructured content and has presented at various international conferences including AWS re:Invent.
2021 Talk: Entity Disambiguation with Knowledge Graph
During the presentation, we will share our experience in building a knowledge graph leveraging Spark, NLP, and Machine Learning. We will start with explaining the business problems and challenges then walk through our data pipeline, including text analytics processes, name similarity solutions, street address normalization, clustering algorithms, confidence level building, etc. To finish, we will discuss the business impact and the takeaways.