Phil Leggetter - Real-Time Web Software and Technology Evangelist
SXSW was the source of a flood of real-time information on the web. Information flowed from attendees using social media tools to share what was being discussed, their thoughts and their experiences. This information was amplified further by the information be re-shared (retweeted on Twitter) and by other opinions being expressed about all things SXSW. But how is it that you ensure you don’t miss an important piece of information from within your social media connections or even outside of your normal social media circles? From an earlier post on Cadmus, an algorithmic Twitter feed service, you may be aware of the idea of curation – filtering content to ensure that you don’t miss the most relevant information. But who performs this curation and what roles do technology have in the process?
A core feature of the real-time web is the continuously updating real-time streams of information. These streams are commonly generated by social networks and with the continued uptake of social networking the amount of information is only going to increase. This will continue to introduce opportunities for companies to create products and services that extract value from that vast amount of data. Some of the most common services built around these streams include trend and sentiment analysis, data storage, aggregation, sorting, search and filtering. DataSift is a service that offers a host of exciting features including the ability to let users browse, build and share their own real-time streams using social media data drawn from a host of sources.
About Phil Leggetter
My name is Phil Leggetter and I'm a Developer Evangelist at Pusher, a Real-Time Web Software and Technology Evangelist and Consultant, software engineer, team leader, line manager, micropreneur, product developer, Twitter user and a keen user of social media. For more information see the About Phil Leggetter page.
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