The complex challenges inherent in today’s healthcare business operating models are compounded by massive volumes of data emanating from a myriad of structured and unstructured sources. Enterprises...
We are witnessing awe-inspiring advances in the history of healthcare. Scientists, researchers, physicians, biopharmaceutical giants, brilliant entrepreneurs and innovative startups alike are...
Last month, we attended Data Summit 2018 here in Boston. There were a number of topics discussed at this 3-day conference surrounding big data technologies, including AI, ML, graph technology and...
Ever since Google mainstreamed Knowledge Graphs in 2012 through a pretty popular blog on enhanced web search, enterprises have realized that the foundational technologies that make web searches...
Organizations today view their data assets as key business drivers for competitive advantage. However, the cost of running analytic solutions is drastically increasing while speed-to-deployment...
From the team that developed Netezza and the underlying technology for Redshift, we are proud to provide a free preview on AWS of AnzoGraph, an in-memory massively parallel distributed graph...
Organizations today view their data assets as key business drivers for competitive advantage. However, the cost of running analytic solutions is drastically increasing, while speed-to-deployment...
Data originates everywhere in the healthcare industry – in laboratories, within insurance agencies, in Electronic Medical Record (EMR) systems, etc. – and each of these sources represents a valuable...
Graph technology has truly burst onto the scene with diverse new products and services, proving that graph is relevant and that not all graph use cases are equal. Previously relegated to niche...
2017 was a banner year for both graph-based technology and Cambridge Semantics. We recently sat down with Alok Prasad, President of Cambridge Semantics, to review the past year as well as see what...
