Data scientists and technologists responsible for data governance, engineering, and integration should look for opportunities to use data analytics and AI for strategic decision-making. Finance, ...

This study is led by Li Yiran, Dr. Li Qingyong, Dr. Geng Yangli-ao and Guo zhiqing from Beijing Jiaotong University, and Dr. Zheng Dong, Dr. Xu Liangtao, Yao wen and Dr. Lyu Weitao from Chinese ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

My name is Zhongying Wang. I am currently a third-year PhD student at the University of Colorado, Boulder, where I have had the privilege of immersing myself in the vibrant academic environment of the ...

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...

Blend, a leading provider of AI-powered data science and analytics services, has been named a Leader in AIM Research's PeMa Quadrant: Top Data Science Service Providers 2025. This recognition reflects ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of structured, siloed, and confidential data.