Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Scientists have developed a machine learning approach to accurately predict potentially harmful amine emissions from carbon-capturing plants. Global warming is partly due to the vast amount of carbon ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

Bank of America announced Friday the launch of CashPro Forecasting, an artificial intelligence (AI) and machine learning (ML) cash flow forecasting tool. It utilizes ML models based on a business's ...

In a new study led by the University of Washington, researchers have demonstrated artificial intelligence's ability to improve lightning forecasts. Lightning strikes led to the devastating California ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

Forecasting has traditionally been a time-consuming process, often done manually by hand. This process is prone to error, relying solely on historical data, human judgment, and memory recall. Even ...

With chatbots like ChatGPT making a splash, machine learning is playing an increasingly prominent role in our lives. For many of us, it’s been a mixed bag. We rejoice when our Spotify For You playlist ...