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Yet, it is a little bit surprising to see that according to Gartner report estimated that: “ 60 percent of bigdata projects will fail to go beyond piloting and experimentation, and will be abandoned.” In this blog, I reflect on how the field of DataScience/analytics can meet expectations and fulfill the anticipated value.
“We hear little about initiatives devoted to changing human attitudes and behaviors around data. Unless the focus shifts to these types of activities, we are likely to see the same problem areas in the future that we’ve observed year after year in this survey.” — BigData and AI Executive Survey 2019.
Florian got his master’s degree in Applied Mathematics from INSA, Major in DataScience and Mathematical Optimization. Albert Vu CS Engineer, Taipy | Expert in Machine Learning and BigData to Solve Optimization Problems Albert Vu’s focus is using machine learning and bigdata to solve (financial) optimization problems.
” Predictive Analytics (Machine Learning): This uses historical data to predict future outcomes. Prescriptive Analytics (DecisionScience): This goes beyond prediction, using data to recommend specific actions. BigData: Large volumes of data that cannot be easily managed or analyzed with traditional methods.
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