Earlier this month, the Cambridge Semantics team set off for Grapevine, Texas, for the Gartner Data & Analytics Summit 2017 to join more than 3,000 big data industry customers, Gartner analysts and solution providers in the continuing discussion on driving business intelligence and analytics forward.
We’d like to introduce you to a new member of our industry advisory council: Carl Reed, formerly managing director at global financial services company Goldman Sachs and Credit Suisse. Carl is an expert in data discovery and analytics for financial institutions, and recently participated in our Tweet Chat earlier this month on “An Insider’s View: Finding Value with Data Engineering & Semantic Standards in Finance.”
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.
A picture is worth a thousand words they say, and this remains true for data discovery and analytics. For centuries, graphs and maps have been used to help us simplify, understand and convey large amounts of data in a universal manner. And with the evolution of technology, we can now visualize increasingly complex information at lightning-fast speeds.
Comprehending semantic technology is no longer an arduous task for the back offices of data-savvy organizations. Business users and C-level executives are starting to comprehend the basics of the technologies that are increasingly impacting their jobs.
In this webinar Barry Zane, our Vice President of Engineering and an industry expert in Database technologies, discusses Semantic Graph databases as the next step in the evolution of Relational databases.
Whether they are doing research for regulatory compliance, trade surveillance, 360-degree customer awareness, drug discovery or clinical trial site selection, enterprises can benefit from the power of semantic graph analytics. Developing a complete Smart Data Lake™ solution by combining business analysis tools for modeling, mapping and analyzing graph data with a massively parallel, in-memory, semantic graph database enables enterprises to utilize interactive, open standards-based, semantic graph analytics at big data scale.
All of the possibilities of big data analytics, semantic graph databases, and Smart Data Lakes™ have been realized with the emergence of Anzo Graph Query Engine (AGQE).
We had a record attendance at our webinar, Smart Data Lakes - Game Changing, Graph-Based Data Discovery, Analytics and Governance for the Enterprise. Presenters Ben Szekely, Marty Loughlin and Jim LaPointe talked about how the Anzo Smart Data Lake™ delivers unprecedented data value, turning data assets into extreme insight and competitive advantage for companies in Pharmaceuticals, Life Sciences, Financial Services and many other industries. The webinar also included a demostration. In case you missed it - you can watch the recording here.