Platforms like Facebook and LinkedIn use social graphs to help us find personal connections - however, at Ancestry, we’re able to build a family history graph that reveals the complicated connections between billions of people, locations around the world, and tens of thousands of historical events.
Through the power of machine learning, Ancestry, the world’s largest family history and consumer DNA database, is creating its Big Tree, a knowledge graph that stitches together 10 petabytes of structured and unstructured data from 18 billion records, more than 80 million family trees and eight 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 session, Ancestry will present an informative explanation of how the company is leveraging 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.
