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The Echo Nest is a music technology company founded by two MIT Media Lab PhDs. The Echo Nest’s proprietary music analyzer API automatically analyzes audio (e.g., aif, wav, mp3, m4a), and generates an XML file describing the musical and structural content of the music. Computation takes about 1/50th of the duration of the track and the text output is about 1/20th of the size of its corresponding mp3.

Unlike other automatic methods of acoustic feature extraction, which progress strictly on raw audio signal, our technology was inspired by how people perceive music.  As a result, developers are able to automatically extract and use a wide array of time-based musical attributes for any song, including: timbre, pitch, rhythm, loudness, onsets, beats, tempo, sections, time signature, key, etc.

The social web is booming, signing up new users and generating new pieces of unique content at a steady clip. A recurring theme of the social web is "data portability," the ability to change providers without leaving behind accumulated contacts and content. Most nodes of the social web agree data portability is a good thing, but the exact process of authentication, authorization, and transport of a given user and his or her data is still up in the air. In this post I will take a deeper look at the current best practices of the social Web from the point of view of its major data hubs. We will take a detailed look at the right and wrong ways to request user data from social hubs large and small, and outline some action items for developers and business people interested in data portability and interoperability done right.

First and foremost, in the development of DP-related business models I’m seeking win-win solutions for consumers and businesses. As DP goes mainstream there will be proponents and opponents of a slew of different, important, and highly controversial aspects of DP. At the front of the line and at the top of my mind are privacy concerns. I actually think we have a chance to change privacy for the better, gain the (nearly) complete trust of consumers, and at the same time, provide businesses with better opportunities to engage in opt-in, targeted, 1-to-1 marketing. This is the holy-grail of DP IMO and the future of advertising.

This post represents a rough sketch-up of the future of DP and DP business models. It’s not quite the “sharing data between facebook and Myspace” that seems to be all the rage today. But I believe this is a realistic direction in which to head, and I think it makes a lot of sense to develop models that maintain customer privacy while sharing data in every aspect of their lives, not just on and over the Web. Furthermore, these models will help businesses employ next generation advertising that allow them to serve customers to the highest potential of the business.

In the last couple of weeks there have been a number of very positive steps forward for Data Portability in general and the DataPortability Project specifically. These include wins by the OpenID Foundation, the IC report, the DataPortability Report and others.

A couple of trends, though, are causing me a little concern and may require a slight course correction before they spin out of control and fragment, rather than standardize, the ecosystem.

1. Tightly coupled OpenID Implementations