Digging up dark data: What puts IBM at the forefront of insight economy | #IBMinsight
IBM’s analytics offerings, along with its mission to show companies what they can learn from data, put Big Blue ahead of the curve in the insight economy.
“The insight economy is about how to derive value, actionable insights, in a fast and timely way from disparate data,” said Bob Picciano, senior VP of analytics for IBM. “More and more, the data is coming from a combination of internal and external sources.”
Picciano told Dave Vellante and Paul Gillin, cohosts of theCUBE, from the SiliconANGLE Media team, during IBM Insight 2015 that much of that data is “dark,” or unexploited data. The capabilities of IBM Spark and Streams help to extract insights from this underused resource.
“Data that is difficult to work with creates a high barrier to entry,” Picciano said. “People typically forego trying to get any information out of it. About 90 percent of data generated by most sensors and A-to-D conversions on the market never get utilized, and 60 percent of that data loses its true value within milliseconds. With the advent of capabilities from IBM Spark or Streams, we can extract insight from that information almost immediately. This enables businesses to build data rich products and services that use that information to transform the customer experience.”
IBM also has a strategy for differentiation. “With our partner Box, we’re codeveloping a platform based on content and collaboration to deliver more value to clients by industry,” he said. “We’re offering a new set of federation services around our content navigator.”
Photo by SiliconANGLE
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