Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.

Time Forecaster A lightweight Python library for time series forecasting using state-of-the-art language models. This library provides a simple interface to load, preprocess, predict, and evaluate ...

Researchers found children with highly addictive use of phones, video games or social media were two to three times as likely to have thoughts of suicide or to harm themselves. By Ellen Barry As ...

Execution Procedure for the Stock Price Prediction Model : This document provides the execution procedure for the stock price prediction model implemented using various machine learning models such as ...

Abstract: Forecasting stock market volatility presents significant challenges and opportunities for both practitioners and researchers in the financial sector. This paper explores the application of ...

ABSTRACT: Time series forecasting is essential for generating predictive insights across various domains, including healthcare, finance, and energy. This study focuses on forecasting patient health ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In the wake of the disruptive debut of ...