The public sector is changing the face of our cities, transforming our workforce and improving healthcare with data and analytics. Here are some of the stories and articles that caught my attention this week.
Can technology help stem the rise in college drop-out rates? Colleges and universities are leveraging advanced analytics to aggregate and analyze student data to identify at-risk students and intervene constructively with personalized assistance.
Viktor Mayer-Schönberger and Kenneth Cukier famously declared that "big data is a revolution that will transform how we live, work and think." Here are some of those revolutions from this week in the public sector.
Big data is not restricted to the domain of business users. Discover how a group of women attending a Saudi Arabia university articulated big data concepts into innovative solutions for helping business users uncover insights.
There has always been a strong interaction between the academic side of higher education and the finance or “business” side of higher education. The academic side had lofty goals for establishing new degrees programs and new ways of recruiting students, while the finance side needed to balance out
The Internet and our social feeds are chock full of blogs, news and articles on the strides that the public sector is making with big data and analytics. This Public Sector News series skims the wires and pulls out the most interesting articles that give us fodder for thought and debate.
Student attrition is a serious concern for colleges and universities around the world. Analytics and data can help higher education institutions manage attrition by helping to align all data to get a comprehensive view of each student, and then using analytics to determine who may be at risk. Once
Today, the Nevada Governor’s Office of Economic Development (GOED) and Desert Research Institute (DRI) announced they are partnering with IBM to use the PureSystems family of expert integrated systems for big data analytics and advanced research applications in the state’s higher education system.
Closing the big data talent gap requires tackling the problem from both sides: the people and the technology. Adequately training the data scientists of tomorrow is an obvious and necessary step, but what about the non-data scientists? And what about the technology side? What can we do to make the
A Computer Science major, an Information Management major and a Marketing major sit in a classroom in Montana…No, It’s not the beginning of an epic joke; it happens to be a glimpse into the first ever undergraduate IBM InfoSphere Streams course.
The University of Montana, with the help of IBM and
The biggest service a university can do for its students is to prepare them for a career. That seems pretty self-evident, but too often the courses are too narrow or too focused on “book learning.”
An innovative new course at the University of Montana is casting that old model aside, thanks to the
Data science’s learning curve is formidable. To a great degree, you will need a degree, or something substantially like it, to prove you’re committed to this career. You will need to submit yourself to a structured curriculum to certify you’ve spent the time, money and midnight oil necessary for
As business users start to explore big data and implement big data projects, they are quickly realizing that the technical issue of managing big data is not the only problem they need to be concerned about: Finding skilled professionals who can work with big data is an equivalent challenge.