4 Reasons to Use Graphs to Optimize Machine Learning Data Engineering
In this article for TDWI, Cambridge Semantics’ CTO, Sean Martin, explains how knowledge graphs can unclog the data science bottleneck hampering machine learning throughout the enterprise, enabling organizations to focus on benefiting from this technology instead of preparing for it.
Is The Enterprise Knowledge Graph Finally Going To Make All Data Usable?
In this article for Forbes, Dan Woods points to Siri, Alexa and Google Home as everyday examples of the power of knowledge graphs and how AnzoGraph can similarly make all enterprise data usable with an Enterprise Knowledge Graph.
Why Thomson Reuters’ Introduction of Enterprise Graph Analytics to Its Global C …
In this editorial penned by Sean Martin, CTO, for International Business Times, Sean explains why Thompson Reuters’ announcement of a “Knowledge Graph feed” for its customers marks an inflection point in the adoption of graph-based technology.
Four Strategic Differentiators of an Enterprise Knowledge Graph
In this article for Dataconomy, Ben Szekely, Vice President Solution Engineering at Cambridge Semantics, writes about Enterprise Knowledge Graphs and how they enable organizations to take advantage of in-memory computing at cloud-scale to bring immediate access and analysis to everyone.
Cambridge Semantics, Inc.: Accelerating Data Insights, Delivering Answers
Cambridge Semantics’ VP of Marketing, John Rueter, discusses how the Anzo Smart Data Lake® links and contextualizes structured and unstructured data, allowing enterprises to automate big data management without placing any burden on IT.
Understanding the Health of Financial Markets Through Semantic Technology
In this article for tdwi, Carl Reed, industry advisory council member to Cambridge Semantics, discusses how semantic technology can aid in measuring the health of financial markets to anticipate the next financial crisis.
The BioPharma Industry’s Unrealized Wealth of Data
Ben Szekely, VP of Solutions and Pre-sales at Cambridge Semantics, writes in this article for the Leaders in Pharmaceutical Business Intelligence (LPBI) Group how ‘Smart’ Patient Data Lakes (SPDL) help biopharma researchers take greater advantage of the ever-growing volumes of patient data.