KEYNOTE SESSION: Big Tree: Using machine learning to create a knowledge graph of mankind
Platforms like Facebook and LinkedIn use social graphs to help us find personal connections – however, at Ancestry, we were able to build a family history graph that reveals the complicated connections between billions of people, location, and tens of thousands of historical events.
Through the power of machine learning, Ancestry the global leader in family history and consumer genomics, is creating its Big Tree, a knowledge graph that stitches together 10 petabytes of structured and unstructured data from 20 billion records, more than 80 million family trees and 10 billion people into one Big Tree. Utilizing the scalability of cloud computing, artificial intelligence, big data technology, AI based Search technology, and distributed stitching engines, the Big Tree is updated in real time – at a rate of 400 changes per second and 35 million changes a day – as users input data or make edits, becoming more powerful and unearthing new knowledge of familial connections with every update.
In this keynote address, Ancestry data scientist Tyler Folkman, will present an informative explanation of how the company is leveraging its Big Data and machine learning capabilities to stitch together the largest family history graph, and how it will impact and reveal the organic relationships between people, locations and events, which could prove a powerful force for greater empathy and understanding as we understand how we relate to the rest of humanity.