Watson, named after IBM founder Thomas J. Watson, was built by a team of scientists to accomplish a grand challenge - a computing system that rivals a human's ability to answer questions posed in natural language with speed, accuracy and confidence. The Watson technology represents a new class of cognitive systems that can quickly sift through large volumes of Big Data, and apply advanced analytics to improve decision making across a variety of use case and industries.
Twenty-five MBA and master of science students with concentrations ranging from marketing and business consulting to finance and entrepreneurship competed in teams submitting seven proposals outlining how Watson's technology could be applied to solve complex challenges in the transportation, energy, retail and public sector industries.
Three winning ideas were selected by a panel of judges comprised of faculty, regional business leaders and IBM executives. Team evaluations were based on the ability of the students to clearly articulate the business case including market research, tactical planning and feasibility while exhibiting an understanding of how to harness Big Data for strategic outcomes.
The winning case studies included a crisis management capability to better allocate resources during disasters, a mining application to improve the effectiveness of natural gas, petroleum and other natural resources exploration, and streamlining the customs process for airports to reduce wait times.
"Providing our students access to the most advanced technologies and approaches in business will better prepare them to be future leaders and innovators in the workforce", stated Mark Zupan, dean of the University of Rochester, Simon Graduate School of Business. "We are deeply appreciative of the opportunity to team with IBM in the area of Big Data and see this as a great opportunity to further teach and advance skills in diverse fields like finance, marketing, consulting, operations, and health care management."
Students in the top two winning teams held concentrations in marketing and business, a sign of the growing need and interest for hands-on expertise in analytics, outside of traditional engineering and computer science programmes. As companies look to gain faster and more accurate insight into customer opinion and preferences, the ability for graduates to strengthen skills in analytics is making them highly sought after in today's job market
The Watson case competition supports Simon School's commitment to incorporating analytics and evidence-based reasoning across all areas of business ranging from marketing to economics and brand development to entrepreneurship. The initiative is part of IBMs ongoing collaboration with educational institutions to strengthen science, technology, engineering and mathematics (STEM) skills.
"The case competition provides a new way for students to bring forward game-changing ideas while providing them with the opportunity to hone their skills in important new areas such as analytics and cognitive computing", stated Manoj Saxena, general manager of IBM Watson Solutions. Our goal is to inspire the next generation of business leaders to think differently about how technology can be used to transform business and redefine industries."
The case based approach may help shape how IBM applies the Watson technology to client challenges across a variety of industries in the future. Watson is already being put to work in the health care and financial services industries. In a pilot programme at WellPoint, the technology is helping medical professionals make more informed decisions around patient treatment options, and Citibank is evaluating new ways the technology can help improve the banking client experience.
The IBM and Simon School competition is intended to foster new ideas, drive awareness, and build student skills around transformative business solutions enabled by next generation big data and analytics technology.
Representing a fundamentally different type of technology, Watson is a cognitive system that learns and becomes more accurate over time by applying analytics and evidence-based reasoning to volumes of information. Like the human brain, Watson builds relationships between a variety of data sets and continuously processing and reprocessing information to draw deeper insights for better decision making.
According to the U.S. Bureau of Labor Statistics, there will be a 24 percent increase in demand for professionals with management analysis skills over the next 8 years. While the McKinsey Global Institute projects a need for approximately 190,000 more workers with analytics expertise and 1.5 million more data-savvy managers in the U.S.
The role and value of data is causing shifts inside organisations and across business cultures driving demand across a broad range of industries in the private and public sectors. These organisations are seeking new ways to tap information in traditional databases and unlock data tucked away in an unstructured format including videos, comments on social media sites and text messages.
IBM's Watson academic case competition is the latest example of how IBM is helping universities to prepare students in new areas of computing and business leadership. The Simon School and IBM Watson case competition is in keeping with IBM's Academic Initiative which delivers coursework, case studies and curricula to more than 6,000 universities and 30,000 faculty members worldwide to help students prepare for high-value future job opportunities. IBM worked closely with academic institutions during the development and introduction of Watson. Eight leading universities around the world participated in the development phase of the system; and more than 10,000 students watched Watson triumph on the Jeopardy! quiz show in February 2011.