The universe of geographically-tagged big data is growing exponentially. From Brookings, here are 23 public and private sectors generating data 24/7 across the globe. The possibilities are vast.
Tag Archives: Big Data
Introducing Luminoso
Introducing Luminoso, a new text analytics engine that understands what people are saying, based on the way we understand each other.
Developed by MIT Media Lab alumni, Luminoso’s software is built on a structural foundation of common-sense reasoning. Because it contains a massive body of cognitive understanding, Luminoso identifies the nuances and colorations of meaning in any written text.
It connects the dots and draws out patterns and associations not possible before, because it grasps the conceptual meaning of language. The name Luminoso is a musical term meaning “to play clearly, brightly, scintillatingly.”
From Mashable:
Catherine Havasi, Luminoso’s co-founder and CEO (pictured, third from right), says the company’s technology is based on 14 years of research at MIT that applies artificial intelligence, probability and a database of 17 million facts (many taken from Wikipedia) to appropriate common sense knowledge to text mining.
Such nuggets have prompted the likes of Mars, BP and GlaxoSmithKline to sign on for Luminoso’s services. The startup also received $1.5 million in funding last December led by Boston-based angel investor George Kassabgi, who believes the company’s technology is “a giant breakthrough.”
The company has two revenue streams — for its dashboard-based services including its own consulting and for its API, which is now available to developers. The API is in private beta; the firm claims there are more than 500 developers on its waiting list.
Luminoso has been successful in convincing some top companies — who pay in the five figures for its services — that it has built a better linguistic mousetrap. Partially this is because of the rigor that Luminoso has applied to its searches. Havasi says that YouTube comments are often richer sources than Twitter, and “don’t get me started on mommy blogs.”
The technology’s efficacy has let Luminoso exist without funding since 2009. The company has also attracted MIT Media Lab alums Jason Alonso and Rob Speer as well as Kenneth Arnold, a doctoral candidate at Harvard.
Luminoso’s free launch webinar is on Tuesday, April 16th, 2 PM EDT.
Registration URL: https://attendee.gotowebinar.com/register/7195588171277305600
Webinar ID: 135-448-403
The Big Data Landscape
Once again, bigger than ever, here is the 2017 Big Data Landscape:
For more on Big Data, click here.
For our investing criteria: Investment Criteria.
For Matt’s useful 2017 update, here.
Here is version 3.0 of the Big Data Landscape, from Matt Turck, now at FirstMark.
And, for some context, here is the prior version:
Big Data and the Local Mobile Promise
Local content and ad delivery continue to get smarter with more context around people, places and how they’re connected, says Michael Boland of BIA/Kelsey.
With smartphone penetration breaking the 50 percent barrier, there is an explosion in geo-data, and various alternatives are emerging to make sense of it.
One approach getting traction is to combine location data with “Big Data” on users (demographic, behaviorial, historical) and contextual data to help marketers extract more useful information. Examples are Localeze, Sense Networks, PlaceIQ, Placed, Locu, Factual, Urban Mapping, and mobile local ad networks xAd, WHEREads, JiWire.
Read more here. Are there other approaches possible? A topic for another day…
October 22 update: Mike Boland provides an update on the some of the players here.