How can traders make better use of quote data across global credit markets? This analysis examines IBVAL, CBBT, and median ...

FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

Here are some memorable examples of when that process paid off this year: when a few numbers, the shape of a line, or the ...

President Donald Trump’s 2024 victory rested on support from voters who are less engaged with politics, an assessment of the election based on newly available voter file data confirms, as Democratic ...

Climate change is a significant driver of human migration, especially in vulnerable regions like Somalia. This study investigates the relationship between climate variables—average annual ...

Abstract: This study developed a forecasting model for predicting the trends in global illegal wildlife trade. The model is based on historical data and integrates linear regression and ARIMA models, ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

At the request of the Central Bank of Kenya (CBK), a technical assistance (TA) mission from the Monetary and Capital Markets (MCM) department visited Nairobi, Kenya, from April 17–21, 2023, to help ...

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...

Microsoft Excel’s Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. This powerful feature allows users to execute a variety of data ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. For the next four years, big data analytics is expected to be ...

This guide is designed to show you how to use Google Gemini for data analysis. In today’s digital age, we are witnessing an unprecedented surge in the volume of data generated globally. This rapid ...