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IBM Narrows Big Data Skills Gap By Partnering With More Than 1,000 Global Universities

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From Washington D.C. to the Philippines, IBM Creates Big Data and Analytics Curriculum for Universities Across the Globe; Announces Winners of 2013 Big Data and Analytics Faculty Awards

ARMONK, N.Y. – 14 Aug 2013: IBM today announced that it has added nine new academic collaborations to its more than 1,000 partnerships with universities across the globe, focusing on Big Data and analytics — all of which are designed to prepare students for the 4.4 million jobs that will be created worldwide to support Big Data by 2015. The company also announced more than $100,000 in awards for Big Data curricula.

As part of IBM’s Academic Initiative, the company is launching new curricula focusing on Big Data and analytics with Georgetown University, George Washington University, Rensselaer Polytechnic Institute and the University of Missouri, as well as a new addition to IBM’s partnership with Northwestern University. Internationally, IBM is partnering with Dublin City University, Mother Teresa Women’s University in India, the National University of Singapore, and the Philippines’ Commission on Higher Education to offer data-driven degree programs, coursework and specialization tracks. (more…)

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IBM and Oxford Survey: Getting Closer to Customers Tops Big Data Agenda

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Less than half of organizations analyzing external data; only 43 percent looking at social media for deeper understanding about consumer preferences
Lack of advanced analytics skills for tackling unstructured data biggest challenge

ARMONK, N.Y. and OXFORD – 17 Oct 2012: A new global report released today by IBM and the Saïd Business School at the University of Oxford reveals that most Big Data initiatives currently being deployed by organizations are aimed at improving the customer experience. Yet, despite the strong focus on the customer, less than half of the organizations engaged in active Big Data initiatives are currently collecting and analyzing external sources of data, like social media.

One reason is that many organizations are struggling to address and manage the uncertainty inherent within certain types of data, such as the weather, the economy, or the sentiment and truthfulness of people expressed on social networks. In the survey, respondents questioned their ability to trust comments, reviews, tweets and other forms of freely offered opinions online. While uncertain, social media data still contains valuable information. Organizations need to embrace and manage data uncertainty and determine how to use it to their advantage. (more…)

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