IBM Expands Watson Analytics Program, Creates Citizen Data Scientists

By Darryl K. Taft  |  Posted 2016-03-01 Print this article Print
IBM Watson

IBM announced it is expanding its Watson Analytics academic program and delivering a new student edition to help empower citizen data scientists.

IBM announced an expansion of its Watson Analytics academic program, along with a new student version of Watson Analytics.

Last year, IBM rolled out an academic initiative delivering Watson Analytics to more than 400 universities worldwide. With its consumer-friendly interface and natural-language technology, Watson Analytics enables students to tap into the power of cognitive computing with an easy-to-use tool. That ease of use also enables professors to teach students how to glean insights from data without having to teach the ins and outs of computer science, data science or statistics.

"We had this idea of trying to get Watson Analytics into the hands of those students outside the typical analytics or data science backgrounds," said Randy Messina, worldwide public sector manager of Watson Analytics. "So with Watson Analytics, we've been able to reach those non-technical users and [to get] Watson Analytics into the hands of students beyond your typical computer science or technical majors. It requires very little or no analytical skills and training. It was intended for users that want to go beyond Excel, but don't have the need for data mining or programming training."

Indeed, the solution goes beyond the traditional computer science and information management disciplines and has been built into curricula for urban planning, marketing, health care and other unique disciplines, Messina said.

For example, when Dr. Robert Hoyt started planning the syllabus for his Health Informatics class at University of West Florida, he recognized that to teach his students—future administrators, nurses and physicians—about the power of data, he needed to bridge a gap in their knowledge about statistics. To do this, Hoyt put together a curriculum that took advantage of the ease of use and power of IBM Watson Analytics, Messina said.

Other examples of universities using Watson Analytics include the University of Connecticut, which is incorporating Watson Analytics into several of its MBA courses. Northwestern University is building Watson Analytics into the curriculum of its Predictive Analytics, Marketing Mix Models and Entertainment Marketing classes. And at the University of Memphis Fogelman College of Business and Economics, undergraduate students are using Watson Analytics as part of their initial introduction to business analytics.

"Professors today spend so much time teaching the clicks versus actually teaching the art of data analysis and storytelling," Messina told eWEEK. So for them, Watson Analytics is a very easy-to-use tool that they can teach. And they have limited time. So they said with the time they have it's good to be able to focus on the art of data mining and data analysis versus 'click here, click here, click here.' So it's been built into programs as short as two-weeks long and still been effective."

Meanwhile, IBM has another goal in mind with the Watson Analytics academic initiative. The company wants to address the data scientist shortage by enabling a broad base of analytics users and creating so-called citizen data scientists or citizen analysts.

"The aim of the Watson Analytics Academic program is two-fold," said Charles King, principal analyst at Pund-IT. "First, IBM hopes to drive interest in the study of analytics and data science among young college students. That's because there's a gap between the number of qualified data scientists and the number of companies that wish to hire them. But IBM also wants Watson to be the first thing those students think of when it comes to analytics, which is why it's launching a new student edition of Watson Analytics. IBM won a huge leadership position in analytics with Watson and capturing mindshare among young people is one way to help ensure that success continues."



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