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.
A CEO’s Guide to Managing and Leveraging Enterprise Data Assets
In this article, Jeffrey Stamen, Co-chairman of Cambridge Semantics, and Dr Steven Rubinow, President of Infocology Inc, have distilled managing and leveraging enterprise data assets down to a simple 8-item checklist of what executives should ask themselves to gain more advantage from their company’s data.
Competitive Intelligence Automation Offers Value Creation Opportunities: Q&A wit …
In this Q&A, Emerging Strategy spoke with Partha Bhattacharjee, a Senior Solutions Engineer here at Cambridge Semantics, on the future of automation in Competitive Intelligence (CI) and how the role of the CI professional will change over time.
Smart and Scalable: The Next Generation Data Lakes
In this Dataversity article, Cambridge Semantics’ Sam Chance, Managing Director of Pre-sales, and John Rueter, VP Marketing, discuss employing semantic web technology to help enterprises overcome the challenges they are having in realizing the expected gains from their data lakes.
Understanding the Evolution from Relationship Databases to Semantic Graph Databases
In this article for Smart Data Collective, Sean Martin, CTO, discusses not only the evolution from relational to semantic graph databases but also the reasons more and more organizations are making the switch.
The Benefits of Semantic-Based Data Modeling in the Smart Data Lake Era
In this article for Smart Data Collective, Sean Martin, our Chief Technical Officer, discusses utilizing a semantic-based data model to easily capture and deliver the “meaning” of your data with all the inherent relationships and attributes.