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 highlighted big data discovery and analytics as a key market trend that will drive a projected CAGR of 10.41 percent during the period 2016-2020.
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 engineering teams to accurately define and communicate the value of our Anzo Smart Data Lake® (ASDL) platform to our growing roster of customers, while also architecting a customized solution for their environments.
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 and mining tools understand how Smart Data Lakes can be a superior mechanism for addressing their top data priorities. Here are the slides from his presentation.
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.
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 who we are and what our platform does. Here is his presentation.
As we head toward 2017, we thought we’d take this opportunity to take a look back at the most popular posts of the year from The Smart Data blog.
Summarizing the lessons she learned from her tenure in a speech earlier this month, Mary Jo White, outgoing chair of the U.S. Securities and Exchange Commission (SEC), made a convincing case that the use of data analytics has greatly contributed to a dramatic rise in successful SEC investigations of insider trading and other securities fraud.
A data mart is a simple form of a data warehouse that is focused on a single subject or functional area. It draws data from a limited number of sources such as sales, finance or marketing, and is often created and controlled by a single department within an organization. Like data warehouses, data marts implement the characteristics of governed, non-volatile, and integrated data, although the static model known to be the “truth” at the time is of a smaller scope than the enterprise scope used in a data warehouse.
The complexity of data management and advanced analytics is daunting to many organizations, but a new emerging class of software enables companies to spend less time managing their data and more time acting on the insights they provide.
At Strata+Hadoop World 2016, the concept on everyone's mind was the Data Lake. Fortunately, Marty Loughlin, our Vice President of Financial Services, was there to discuss how Smart Data Lakes are employing semantic technology to revolutionize Enterprise data analytics in ways that traditional Data Lakes can't. Here are the slides from his presentation.