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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
Time:  30 minutes
Login Details:  Shared after registration
Refinitiv Knowledge Graph  

A graphical network based on the Refinitiv Knowledge Graph data set brings to life a comprehensive view of the financial ecosystem, so that you can uncover new, unexpected, or difficult to find insights from connected data.

Using verified Big Data management principles and machine learning techniques, Refinitiv Knowledge Graph provides a trusted data source and model for you to leverage, build your enterprise solutions on top of and benefit in new, connected ways from the breadth of the Refinitiv open platform.


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Refinitiv Labs is shaping the future of data
We collaborate with our customers, partners and colleagues to identify and pursue new business opportunities.At Refinitiv Labs, cross-functional sprint teams rapidly prototype and validate AI-enabled solutions using emerging technologies, data science, lean techniques and trusted Refinitiv data. Our data science teams have deep understanding of the issues affecting financial markets and problem-solve from the world’s financial and technology hubs – in New York, Singapore, and London.