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SmartData Collective > Big Data > Data Mining > Teradata’s “Multiple paths to social media”
AnalyticsData MiningExclusiveSocial DataText Analytics

Teradata’s “Multiple paths to social media”

CliffFigallo
CliffFigallo
2 Min Read
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On November 10 I attended and moderated a panel at Text Analytics Summit West in San Jose, California. My session was titled Text Analytics and Social Media – an opportune topic given the fact that I manage both this Smart Data Collective site and its sister site, Social Media Today.

Dan Graham, General Manager Enterprise Systems and Teradata Labs, happened to be at the conference so we sat down in the hallway where I asked him about Teradata’s approach to text analytics and its most important application – socially generated content. 

On November 10 I attended and moderated a panel at Text Analytics Summit West in San Jose, California. My session was titled Text Analytics and Social Media – an opportune topic given the fact that I manage both this Smart Data Collective site and its sister site, Social Media Today.

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Dan Graham, General Manager Enterprise Systems and Teradata Labs, happened to be at the conference so we sat down in the hallway where I asked him about Teradata’s approach to text analytics and its most important application – socially generated content. 

This edited video, with musical soundtrack provided by the Convention Plaza Hotel, sums it up nicely, describing their strengths, their partners, their service boundaries and their recognition of the essential role social media play in the Big Data world.

 

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