IBM Opens Advanced Analytics Center In Ohio

A new analytics center will open in Columbus, Ohio, and will be be focused upon advancing research, development, client services and skills training in the areas of analytics, big data and cognitive computing. .

Colleen Miller

December 4, 2012

1 Min Read
The IBM Watson supercomputer that played Jeopardy!
The IBM Watson supercomputer.



The IBM Watson supercomputer.

A new IBM analytics center is coming to Columbus, Ohio, and will focus on advancing research, development, client services and training in the areas of analytics, big data and cognitive computing, IBM recently announced. The IBM Client Center for Advance Analytics will create 500 new analytics jobs, with staff to be hired over three years.

IBM is locating the center in Ohio because the Buckeye State is home to 27 Fortune 500 and 57 Fortune 1,000 companies, as well as a burgeoning technology sector and leading academic institutions. The center will bring together public and private partners such as Ohio State University, JobsOhio, Columbus 2020, ICC, an IBM Premier Partner, and other Columbus-based businesses.

The data analysis will be focused on creating new markets for commercializing IBM's Watson supercomputer technology, including, "Smarter Commerce" and "Social Business Client Capabilities."

"Data is a powerful natural resource that if used wisely can drive U.S. economic competitiveness and lead to rewarding careers in the future dedicated to building a smarter planet," said Mike Rhodin, Senior Vice President, IBM Software Solutions Group. "

Always a leader in computing, IBM today is developing innovative approaches to tackling big data, such as breakthrough technologies like IBM Watson, a new class of industry-specific analytical capability that uses deep content analysis, evidence-based reasoning and natural language processing to identify relationships buried in large volumes of data that can be used to improve decision making. The need for these types of capabilities, and the specialized talent required to create and develop them, is being fueled by an increasingly competitive global marketplace, data-rich industries, and the accessibility to sophisticated computing at a lower cost.

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