Press Releases
For press inquires, contact us at press@svds.com or call (650) 397-6570
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SVDS Announces New Location in Chicago
Data science company brings Silicon Valley know-how to historic business hub.
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SVDS and Health Integrated Establish Strategic Partnership
Collaboration fuels data-driven patient management.
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Do You Need a Chief Data Officer?
New report published by O’Reilly Media can help you decide.
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Databricks Launches Spark Certification Program
SVDS is one of the first nine certified systems integrators.
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Media Mentions
McKinsey & Company
How Pharma Can Win in a Digital World
CEO Sanjay Mathur and Chris Geissler contributed to a whitepaper on the changing technology landscape and how the pharmaceutical industry can adapt.
New York Times
For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights
CTO John Akred talks to Steve Lohr about the iceberg under the water of data science.
Chicago Tribune
Make your vote count: Sign the remap petition
Cites our analysis of gerrymandering with regards to Texas.
Market Watch
Management Day at the 52nd DAC: The Impact of IoT and Big Data on Decision Making in EDA
Sanjay noted as a panelist for this conference.
Houston Chronicle
This is how efficiently Republicans have gerrymandered Texas congressional districts
Cites our R&D analysis of gerrymandering.
Big Data Quarterly
Edd Dumbill to Present Opening Keynote at Data Summit 2015 in NYC
VP Edd Dumbill opens the Data Summit with a keynote on Understanding the Data Value Chain.
Venture Beat
Death of Gigaom doesn’t kill Structure Data conference: Attendees organize their own
Names us as one of the companies participating in the pop-up data conf.
KD Nuggets
Avoiding a common mistake with time series
They picked up Tom’s blog post on time series data.
Reuters PE Hub
Language data firm Idibon bags $5.5 mln
Piece about Idibon.
New York Times
In Big Data, Shepherding Comes First
Direct quote in an article on data strategy by Steve Lohr.
O’Reilly Radar
The data lake model is a powerhouse for invention
Podcast with Edd Dumbill on the data lake.
