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 ...

Forbes contributors publish independent expert analyses and insights. I am a risk communicator focused on the impact of weather on business. Jul 15, 2025, 08:30am EDT The combination of AI, advanced ...

The Department of Atmosphere, Oceanic and Space Sciences Nov. 24 hosted NOAA Physical Science Laboratory John Albers for the AOS Colloquium Series. Even though his job is with NOAA, Albers specified ...

Precision has become one of the most valuable strategic assets a company can possess. Whether forecasting demand for the next major book release or balancing production across global supply chains, ...

In today’s rapidly evolving business landscape, the ability to accurately forecast sales is more critical than ever. Yet, traditional sales forecasting methods are increasingly proving inadequate, as ...

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...

Investment decisions are often based on a company’s financial performance, and such performance is captured in its financial statements. The three examined in this course are the income statement, the ...