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Building a Knowledge Graph Platform from Billions of Unstructured Online Sources Using AI

Aditya Jami Aditya Jami | CTO | Meltwater

I'm going to talk about how we leveraged recent advancements in AI to make sense of trillions of documents from millions of online data sources to build a knowledge graph platform (Fairhair.ai) and let developers and data scientists create insights using the platform's advanced pre-trained and customizable AI models. This comprehensive insights platform not only powers our entire product suite, trusted by more than 30,000 companies globally but also by top university research labs such as Oxford University & Carnegie Mellon University to advance the field of Data Science.

Aditya Jami
Aditya Jami
CTO | Meltwater

Aditya Jami is the CTO of Meltwater, responsible for overall technical strategy with special emphasis on company’s AI & Data science initiatives across all product lines. He is motivated by solving problems in the areas of large-scale multi-modal data management, Machine learning on the cloud, Information network analysis and knowledge graphs. He was a founding member of the Cloud Solutions team at Netflix, where he built the first Chaos Monkey (later extended to Simian Army) that ran on the production cloud, Cassandra/Priam – as well as several other cloud migration initiatives. At Yahoo, he worked on a real-time data platform that collects and analyzes 300 Billion web events (10TB) a day to power its news feed recommendation and behavioral targeting advertising models. He served as chief architect of the cross-university joint project called RoboBrain – a large-scale computational system that learns from publicly available Internet resources, computer simulations, real-life robot trials. RoboBrain was listed among the MIT Technology Review’s Top 10 Breakthrough Technologies in 2016.

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