#IBMandTwitter – The power of big data: Insights from IBM Insight Day 3

Reprinted from ibmecmblog.com


Today’s Post By: Elissa Redmiles (who but me), Market Segment Manager, IBM Enterprise Content Management

Coming into the final general session at IBM Insight Wednesday morning, everyone was buzzing with anticipation to hear Captain Phillips and Kevin Spacey. Little did we know that an even more surprising guest awaited us inside the amphitheater at Mandalay Bay: Chris Moody, Twitter’s Vice President of Data Strategy.

With over 1 billion users worldwide, most of whom are individuals rather than businesses, many people may have wondered where Twitter fit into the strategy of an enterprise technology provider like IBM. This was the question on everyone’s mind when Chris Moody walked onto the IBM Insight main stage. Our surprise quickly turned to shock and excitement when Moody announced that IBM and Twitter were teaming up to put IBM’s software and Twitter’s data to work in a new #IBMandTwitter partnership. Like many of those who heard the announcement, you’re probably curious what this alliance has to offer you and your organization:

  • A new source of business insight. Twitter’s immense quantity of data about people and their behaviors, purchasing patterns, marketing response and more will be integrated with select IBM cloud-based analytics solutions, including IBM Watson Analytics and IBM BlueMix, giving IBM customers access to the vast power and insight of Twitter data.
  • Jointly developed IBM and Twitter enterprise solutions. The first solution will be IBM ExperienceOne, a customer engagement solution that will use sentiments and behaviors gleaned from Twitter to inform sales, marketing and customer service decisions.
  • Enterprise consulting expertise. 10,000 IBM Global Business Services consultants will be trained to leverage Twitter data to benefit their IBM clients.

Learn more about the #IBMandTwitter partnership.

But even this monumental announcement didn’t detract from the enthusiastic response to appearances by Phillips and Spacey. Captain Phillips described his horrifying experience as a hostage during a pirate takeover of MV Maersk Alabama. What most people don’t know is that IBM software played a key role in his rescue. The US Navy Seals leveraged IBM i2 Enterprise Insight Analysis technology to analyze data gathered from spies and geographic information systems (GIS). This insight enabled them to predict the behavior patterns of Phillips’ captors and ultimately rescue the captain and his crew.

Insight attendees then gave thunderous applause to Kevin Spacey, who delivered a compelling story about his series, House of Cards, and how Netflix’s pioneering use of big data analytics has changed the television industry. Spacey noted, “When we presented the idea of House of Cards to the big television executives, they wanted us to do a pilot. When we presented to Netflix, they asked how many episodes we wanted to make.” Why were the two reactions so different? Big data analytics. Netflix had not only collected, but analyzed, viewer data: including its own data, data from other shows featuring Kevin Spacey, and data from shows similar to the proposed House of Cards. Using this insight, Netflix was able to predict what viewers would want to watch, even before the viewers knew they wanted to watch it. And Netflix was right. In order to break even on the investment in House of Cards, Netflix needed to enroll 500,000 additional subscribers. After the series aired, Netflix had 17 million new subscribers. That’s a pretty good investment.


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