[Slideshare] Applying Data Engineering and Semantic Standards to Tame the "Perfect Storm" of Data Management

The financial industry is facing a perfect storm of disruptive drivers for data management. While regulators seek accuracy and transparency, institutions are struggling with fragmented data and IT...

Read More

Tweet Chat: Big Data in the Financial Services Industry

Cambridge Semantics recently hosted a Tweet Chat with industry professionals, media and analysts to discuss Big Data in the Financial Industry using the hashtag #SmartDataChat.

Read More

Leveraging Semantic Web Technologies for Improved Decision Making

Real-world events demonstrate our collective inability to rapidly and accurately observe, process, and interpret information in support of decision making. Additionally, one can argue that any...

Read More

How Big Data Is Disrupting the World of Insurance

The nature of the insurance industry is changing quickly, and much of that change is being attributed to big data and analytics. In fact, a Research and Markets report on the global insurtech market...

Read More

Q&A with Sam Chance, Our New Managing Director of Pre-Sales

We’d like to introduce you to the newest member of our team, Sam Chance, who has joined us as managing director of pre-sales. In this newly created position, Sam will work closely with the sales and...

Read More

2016: The Year of the Financial Smart Data Lake

With compelling business use cases, adoption of open industry standards and enterprise deployment of high performing scalable platforms, 2016 was a breakout year for the adoption of semantic graph...

Read More

Transforming Data Management and Time to Insight with Anzo Smart Data Lake® [Slideshare]

In this webinar Steve Hamby, Managing Director Government, discusses semantic graph technology to help Federal Government CIOs and their agency staff that are researching enterprise data management...

Read More

Ten Reasons to Dive into the Smart (Semantic) Data Lake

The data lake is a modern and rapidly evolving data architecture. It promises ubiquitous access to enterprise data with compelling benefits in terms of cost and agility. Yet, in many cases, this...

Read More

Five Big Data Industry Predictions for 2017 from Our CEO

As we approach the end of 2016, we sat down with our CEO, Chuck Pieper, to discuss the future of big data and get his predictions for 2017. Here are his thoughts.

Read More

Allow Us to Introduce Ourselves

In September 2016 Cambridge Semantics attended Strata+Hadoop World 2016 in New York, NY. While we were there, Marty Loughlin, our VP of Financial Services, spoke to a gathering of attendees about...

Read More