BEGIN:VCALENDAR VERSION:2.0 PRODID:-//hacksw/handcal//NONSGML v1.0//EN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20240328T140619Z DESCRIPTION:Click for Latest Location Information: http://graphorum2019.dat aversity.net/sessionPop.cfm?confid=132&proposalid=10872\n
Financial insti tutions have seen an enormous growth due to rapid globalization, but these successful expansions have come at the price of increased complexity and sy stemic risk. Unfortunately, most financial institutions cannot aggregate ri sk quickly and accurately at the bank group level, across business lines, o r between legal entities. The unification of distributed, heterogeneous dat a is essential to ensure financial institutions adequately measure and mana ge financial risk. Knowledge graphs allow large enterprises to connect, que ry, and retrieve data of all structures, schemas, and velocities.
\nKey learnings:
\n\n What is a knowledge graph and why is data lineage a critical element to und erstanding organizational data\n How knowledge graphs can help you track, analyze, and index data to mitigat e risk and enable firm-wide data management \n Explore use cases of graphs in the financial services industry tackling cha llenges in the areas of global AML, KYC, fraud detection and prevention, ri sk, stress testing, and more\n Learn how a knowledge graph’s reusability allows you to tackle many u se cases at the same time or start with one focus area and easily shift to different use cases throughout your organization\n\n\n DTSTART:20191017T094000 SUMMARY:Solving Data Challenges in Financial Services with Knowledge Graphs DTEND:20191017T103959 LOCATION: See Description END:VEVENT END:VCALENDAR