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Bridging the Gap: Integrating Data Science and Decision Science through Six Essential Questions

Towards AI

Yet, it is a little bit surprising to see that according to Gartner report estimated that: “ 60 percent of big data projects will fail to go beyond piloting and experimentation, and will be abandoned.” In this blog, I reflect on how the field of Data Science/analytics can meet expectations and fulfill the anticipated value.

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Announcing the ODSC East 2023 Keynote Speakers

ODSC - Open Data Science

Florian got his master’s degree in Applied Mathematics from INSA, Major in Data Science and Mathematical Optimization. Albert Vu CS Engineer, Taipy | Expert in Machine Learning and Big Data to Solve Optimization Problems Albert Vu’s focus is using machine learning and big data to solve (financial) optimization problems.

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Customer Data Culture: The Innovators Have Already Reinvented Themselves

Alation

“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.” — Big Data and AI Executive Survey 2019.

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Data Science Cheat Sheet for Business Leaders

Pickl AI

” Predictive Analytics (Machine Learning): This uses historical data to predict future outcomes. Prescriptive Analytics (Decision Science): This goes beyond prediction, using data to recommend specific actions. Big Data: Large volumes of data that cannot be easily managed or analyzed with traditional methods.