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Making sense of financial data with Knowledge Graphs
Join Refinitiv Labs for a behind-the-scenes look at how they have used knowledge graphs to link disparate financial datasets, including infrastructure assets. 

Knowledge graphs are a way of structuring information by representing entities and the relations between those entities. Using a clear ontology, computing power, and machine learning, knowledge graphs’ flexible structure make them exceptionally well-suited to link structured and unstructured data together at scale.

In this session, Refinitiv Labs will share their recent experience of using knowledge graphs to stitch data in completely siloed databases together, which can now be distributed robustly via a unified API.
Sign-up to this Learn-It-All Lab, where the team will share:
  • An intro to Knowledge Graphs - what sets them apart from traditional databases?
  • Why Knowledge Graphs are currently so underutilized in finance
  • Overcoming typical challenges, including data matching issues, with a new approach to data linking
  • Project Infura - a look at the new interlinked and integrated database of global infrastructure project information and financing data
Refinitiv, is one of the world’s largest providers of financial markets data and infrastructure. Serving more than 40,000 institutions in approximately 190 countries, we provide information, insights, and technology that drive innovation and performance in global markets. Our 160-year Reuters heritage of integrity enables customers to make critical decisions with confidence, while our unique open platform, best-in-class data, and cutting-edge technology bring greater opportunity to our customers. By advancing our customers, we drive progress for the entire financial community.
Refinitiv

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