Digital Patient Health Case Study
Download this Case Study to learn how a global pharmaceutical company achieved a scientific breakthrough in the highly competitive area of an unmet medical need and was quickly amassing clinical and biomarker data across multiple indications in a therapeutic area.
Clinical Data Standards Management Solution Sheet
Download this Solution Sheet to learn how ASDL provides the flexibility to make changes “on the fly” at every step in the clinical development process without duplicating data, while enforcing strict governance and change management processes, and preserving all data lineage and provenance information.
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.
Enterprise Metadata Management Market 2017-2021: Risk & Compliance Management to …
This report by Research and Markets, which features Cambridge Semantics, will help enterprises to better know the competitors and understand the pulse of the market with information on the key market drivers, restraints, challenges, and opportunities.
2017 Global Enterprise Metadata Management Market Report
This report by Orian Research, which identifies Cambridge Semantics as a key company in the market space, is a professional and in-depth research report on the world’s major regional market conditions of the Enterprise Metadata Management market.
[Slideshare] Anzo Smart Data Lake 4.0 – a Data Lake Platform for the Enterprise …
In this webinar Ben Szekely, VP of Solution Engineering, reveals the breakthrough capabilities of the newly launched Anzo Smart Data Lake 4.0 – the only end-to-end platform for semantic layers based on open standards.
Enterprise Data on Demand with a Breakthrough Data Lake Platform
Watch this on-demand webinar to learn how Anzo Smart Data Lake solves the enterprise data challenge holistically, enabling data to be offered on demand and to be easily reused for multiple applications, lowering operational costs and dramatically increasing ROI.