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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

Pedro Domingos, PhD Professor Emeritus, University Of Washington | Co-founder of the International Machine Learning Society Pedro Domingos is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI.

professionals

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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. Data Cleaning: Process of identifying and correcting errors or inconsistencies in datasets.