Startup Quantifies Video Content With Code


Gigaom

Computer vision has seen some major advances over the past couple of years, and a New York-based startup called Dextro wants to take the field to a new level by making it easier to quantify what the computers are seeing. Founded in 2012 by a pair of Ivy League graduates, the company is building an object-recognition platform that it says excels on busy images and lets users query their videos using an API a la other unstructured datasets.

The idea behind Dextro, according to co-founder David Luan, is to evolve computer vision services beyond tagging and into something more useful. He characterizes the difference between Dextro and most other computer vision startups (MetaMind, AlchemyAPI and Clarifai, for example) in terms of categorization versus statistics. Tagging photos automatically is great for image search and bringing order to stockpiles of unlabeled pictures, “but we found that most of the value and most of the…

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Why Should Startups Blog?


Pete Warden's blog

Secretary
Photo by Anne Bowerman

A friend just asked me a simple but important question – why should a startup have a blog? What are the practical, concrete benefits?

The short answer is, you probably shouldn’t have one! It takes a lot of time and mental energy to keep an active blog going, and if you spent that time on external consulting instead and channeled the revenue into AdWords you’d almost certainly get more traffic for your effort. If you don’t have a burning desire to say something, you’ll get dispirited by the initial lack of interest and give up.

It’s a bit like choosing to do a startup instead of sticking with a salary job – if you stare at the cold probabilities it’s an irrational choice. You hear about the successes, but not about about the hundreds of other blogs that get ignored despite great content.

So why…

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It’s Time for Storage to Smarten Up Already


Gigaom

DataGravity, the thus-far secretive startup co-founded by Paula Long of EqualLogic fame, is finally ready to talk about its DataGravity Discovery storage array.

Lately, much of the discussion around storage has been about speeds and feeds of the latest flash arrays — and that’s valid. But Long’s position is that much of the value of what companies store is lost because that data goes into a black box, and companies have to deploy audit software and other extras it to wring important information out of it. [company]DataGravity[/company] integrates those tools, search and analytics, into its software.

Aggregating data about the data

What are some examples of that important information? For instance: Who at the company accessed a file and how often? Who is working together on shared files? Is there personally identifiable information (PII) or credit card information sitting in documents? Which files have not been touched in two years? All of that…

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