General Dynamics trades at a discount to fair value based on DCF and peer multiples, despite double-digit EPS growth and a ...

Intelligent Customer Acquisition and Precision Marketing. Multimodal Content Generation; The AI digital human technology can ...

Research is also rapidly advancing to expand the use of AI for forecasts weeks to months ahead, which helps farmers in making planting choices. AI models are already being tested for improving extreme ...

Nevertheless, forecasting accuracy improves when real-world data and Google Trends are combined to predict the sales of some retail products available in the real-world data. Generally, results imply ...

List of research papers focus on time series forecasting and deep learning, as well as other resources like competitions, datasets, courses, blogs, code, etc.

At the main forum of the 11th WRE Retail Digitalization Summit, Mr. Xie Peng, Co-Founder and COO of Deep Learning ...

This study explores in artificial intelligence methodologies into sales forecasting for retail stores. This work revolves around the Walmart dataset, which contains weekly sales figures with ...

Sales data is vital for informed business decision-making, inventory control, and demand forecasting. However, in many organizations, this data exists in unstructured formats such as scanned PDFs and ...

A comprehensive estimate of how much Trump and his family are making, from hotel mega-deals to crypto schemes, has been ...