b) Academics are often oblivious to the business environment and over fixated with their own research and technology, while business professionals need answers to their problems.#SASchat #DataScience

@sasforums A6: There are a number of stumbling blocks for industry-academia collaboration: a) Performance measures for staff at universities and business are in conflict. Academics are rewarded for publications while practitioners are rewarded for innovative solutions to problems.#SASchat

@sasforums A4: Most importantly, Data Scientists themselves should be driving their own upskilling and be involved in as many as possible real-world projects. The IoT presents many learning opportunities in terms of courses, papers, forums, etc.#SASchat #DataScience

@sasforums A3: At #CentreforBMI we teach students these (problem solving and lifelong learning) skills. We do this by giving students real world business problems that put them outside their comfort zone. #SASchat #AnalyticsLeadership #DataScienceSkills #datascience

A3: "Scientists have misled themselves into thinking that if you collect enormous amounts of data you are bound to get the right answer. You are not bound to get the right answer unless you are enormously smart.”- Bradley Efron #SASchat #DataScience

@sasforums A3: We need to change the mind set of data science students to become professional problem solvers and lifelong learners. #SASchat #AnalyticsLeadership #DataScienceSkills #datascience