Events

Join Cambridge Semantics and over 2,500 fellow Big Data peers at Gartner's Data & Analytics Summit 2017 in Grapevine, Texas, March 6 - 9 , 2017. We'll be in booth #808 - come by and say hello!

Join Cambridge Semantics at the Smart Data Conference in San Francisco from January 30th to February 1st and be sure to catch our VP of Engineering, Barry Zane's presentation "Smart Data Lakes: Data Warehouse Style and Scale Analytics on Enterprise Knowledge Graphs" on Tuesday, January 31st, at 10:30 am.

Join Cambridge Semantics at the Big Data & Analytics for Banking Summit in New York, NY, December 7 - 9, 2016. This year's theme is "Smarter, Faster, Better, Banking".

Cambridge Semantics will be at the Chief Data Officer Summit in New York, NY, December 7 - 8, 2016. This year's theme is "Develop a Cohesive Enterprise Data Strategy".

Visit Cambridge Semantics at booth number 1 at the Big Data & Analytics for Pharma Summit in Philadelphia, PA, November 3 - 4, 2016. This year's theme is "Leverage Data Analytics to Deliver Patient-Centric Outcomes".

Visit Cambridge Semantics at booth #564 at Strata + Hadoop World on September 27 – 29, 2016 in New York, NY.

Join us at the fourth annual Enterprise DATAVERSITY: Data Strategy and Analytics Forum on September 19 - 22, 2016 at the Drake Hotel, Chicago, Illinois. Both our Chief Technology Officer Sean Martin and Vice President of Engineering Barry Zane will be speaking at this event.

Barry joins a panel titled “Fireside...

Cambridge Semantics' Director of Advanced Analytics, Richard Mallah, will be speaking at this half-day event being held on August 25th in San Francisco, CA, on the topic of "AI: Impact on Economy and Society". To register for this event, click here.

Cambridge Semantics is sponsoring the 3rd Life Science Knowledge Management Summit, August 8 - 9, 2016 in Philadelphia, PA.

Come visit Cambridge Semantics at booth #3 at the Big Data & Analytics for Pharma Summit in Philadelphia, PA, June 9 - 10, 2016. This year's theme is "Pharma’s Revolution: Proliferation of Big Data".