"Past data" analytics --> moves to predictive analytics (based on what happended in the past) --> now becomes prescriptive analytics (i.e. "telling you what to do). The barrier, at least in my opinion, is making the "leap of faith" that the technology works. For risk averse IT, I'm not sure organizations are there ... yet.
As IT-person, the issue is to create tools, that can value data in time, but also weigth each data correctly. With three years of recession, it is human to anticipate the recession to end, but a computer-program based on these 3 y. alone, will continue to calculate a recession. With current data, there could be indicators, for the end of the recession, how to create algorithms that take new data in account over past three years tendencies? A.I. in a higher form could give an robots answer.
"Past data" analytics --> moves to predictive analytics (based on what happended in the past) --> now becomes prescriptive analytics (i.e. "telling you what to do). The barrier, at least in my opinion, is making the "leap of faith" that the technology works. For risk averse IT, I'm not sure organizations are there ... yet.
As IT-person, the issue is to create tools, that can value data in time, but also weigth each data correctly. With three years of recession, it is human to anticipate the recession to end, but a computer-program based on these 3 y. alone, will continue to calculate a recession. With current data, there could be indicators, for the end of the recession, how to create algorithms that take new data in account over past three years tendencies? A.I. in a higher form could give an robots answer.
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