At the Enterprise Data Management (EDM) Council’s Members Brief meeting last month, we were honored when Tim Baker, Head of Innovation for Finance and Risk for Thomson Reuters, recognized Cambridge Semantics for our support of their knowledge graph initiatives. For the crowd of 400 or so financial data professionals, Tim displayed a recent article in the International Business Times by our founder and CTO Sean Martin who had written about the broader industry significance of Thomson Reuters’ introduction of enterprise graph analytics for its customers.
Following the session, Tim invited Cambridge Semantics’ Vice President of Financial Services Marty Loughlin to join members from the EDM Council, The Bank of New York Mellon, and Ernst & Young for a panel discussing knowledge graphs in the financial services at the Big Data and Analytics for Banking Summit earlier this month. Key topics included the essential learnings of building institutional knowledge graphs, how banks can effectively build big data solutions for rapid access to insights, and how robust identifier and ontology strategies contribute to build out of bullet-proof big data systems.
The announcement by Thomson Reuters that it would begin offering its customers a knowledge graph feed, accompanied by the recent Amazon Neptune launch, demonstrates a shift away from traditional technologies to a more efficient strategy for understanding today’s ever-growing stores of data. Several industries have been implementing graph-based technologies in their operations, however this is the first time leading companies are acknowledging these advancements as part of their marketing strategies.
Graph-based technologies allow data to be easily accessed, analyzed and shared among users in businesses. Graph databases provide a semantic layer that identifies data assets and builds relationships across all enterprise data to provide insights that can be used and reused for several queries by any authorized user. This ultimately accelerates access to insights and lowers overall IT costs for businesses in any data-intensive industry.
We fully support Thomson Reuters and Amazon Neptune’s turn toward these advanced technologies as a rising tide that lifts all of the companies in the graph-based data analytics industry. We look forward to exploring future opportunities for synergies with Thomson Reuters and Amazon Neptune to continue enhancing these disruptive technologies in the big data industry.
To learn more about how Anzo Smart Data Lake's graph-based technology can provide deeper insights into all your data (both structured and unstructured), download our whitepaper "Leveraging Semantic Technology to Tame the Enterprise Data Storm".