LIVE: Big Data’s Next Big Chore – Taking Out the Garbage
Updated with full video – see below.
Welcome to NewsDesk on SiliconANGLE TV for Wednesday July 17, 2013. Yesterday Wikibon Principal Research Contributor Jeff Kelly took to the Wikibon blog to give readers a sneak-peak into the topics of discussion that will be taking place at today’s MIT Chief Data Officer and Information Quality Symposium in Cambridge, Mass. Joining us now to kickstart the discussion on the importance of quality in big data is SiliconANGLE Senior Managing Editor Kristen Nicole.
See live feed below or visit youtube.com/siliconangle to watch on-demand.
On today’s NewsDesk with Kristin Feledy, Kristen Nicole will be stopping by to discuss the rise and span of multiple industries within big data, and we’ll get her opinion on the kinds of data and what guidelines indicate good and bad data.
She’ll also go over the kinds of data errors that’s fairly common amongst big data, and we will ask for her preview of what we can expect to see MIT release at this year’s Symposium.
The importance of quality data is going to increase as big data becomes better at finding correlations in seemingly unrelated topics, and as time goes on, machine-generated data could very well lead to improvements far beyond our current scope. So at this point, we need to ask ourselves, is it better to have a big sample, or is it better to have a good sample?
We’ll be sure to ask Kristen exactly that – and more, on this morning’s NewsDesk with Kristin Feledy.
See the live broadcast, embedded below. If you missed today’s topic, check our YouTube channel for archived clips.
photo credit: wok via photopin cc
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