In-Q-Tel, the strategic investment arm of the U.S. intelligence community, has put money into an open source geospatial-data startup called OpenGeo.
SpaceCurve has raised another $10 million for its database technology designed to make sense of massive amounts of data from sensors, social media, mobile devices and other streaming sources.
Microsoft has rolled out a new visualization feature for Excel called GeoFlow. It’s definitely pretty, and if you’re using Windows and trying to track activity over space and time, it might be useful, too.
Graph database startup Neo Technology has raised another $11 million, providing more fuel to the fire of specialized databases. Whether they’re graph databases organizing data by relationships, or geospatial databases concerned with where stuff is located, everyone is trying capitalize on myriad new data sources available.
Space-Time Insight has raised $14 million for its technology that visualizes geospatial data on a map so users can actually see what they’re dealing with and start to see correlations in entirely new ways. Although the energy sector drives business, the company is catching on elsewhere.
SpaceCurve has raised another $3.5 million for its technology that should allow users to analyze mountains of geospatial data. Although the company has yet to deliver product code, it already has Fortune 50 customers waiting in the wings to test it on some difficult problems.
It all seems so easy: You log into Facebook, update your status, tell everyone where you are and — voila! — your Timeline is geospatial. Only, while it’s just one extra step for you to add location, building that capability was a tad more complicated for Facebook.
The Supreme Court of the United States heard oral arguments in a case that could decide how connected the concept of big data is to constitutional expectations of privacy. How much data is too much before allowable surveillance crosses the line into an invasion of privacy?
As the amount of captured data grows, how can businesses make more sense of it, use it for accurate predictions and better understand their customers? The answer may lie in the world of physics: the concept of space-time paired with data improves predictions through context.