Machine Learning Predicted to Take the Stage Again in 2018
In a round-up of Machine Learning predictions for 2018 in Database Trends and Applications, Sean Martin, CTO and co-founder of Cambridge Semantics, predicts that graph technology will join with machine learning due to the rich potential for training features.
“Above the Trend Line” – Your Industry Rumor Central for 12/11/2017
In this recurring feature, insideBIGDATA announces the addition of Steve Dischinger as our VP of Business Development and Alliances, as well as asks Sean Martin, CTO, for his thoughts on Amazon’s graph-based solution Neptune.
On the Radar: 14 Metadata Vendors To Watch Now
In this article in Datanami, Alex Woodie discusses Gartner‘s latest Magic Quadrant of Metadata Management, in which Cambridge Semantics is included as a vendor setting the pace in this increasingly important field, and why metadata management is so important to getting a handle on your data.
Turning Business Users into Citizen Data Scientists
AnalyticsWeek’s Jelani Harper writes, with insights by our own VP of Solutions and Pre-Sales Ben Szekely, how analytics platforms providing conversational, interactive responses to questions are turning business users into citizen data scientists.
The Smart Thing to Do: Practical Applications of Monetizing Big Data in Finance
In this article for KMWorld, Carl Reed, former managing director at Goldman Sachs and Credit Suisse and current member of Cambridge Semantics’ industry advisory council, is interviewed about how he used semantic graph technology to harmonize the tens of thousands of databases spread across an Enterprise organization.