Many government contractors still rely on fragmented systems and static spreadsheets to project what’s ahead. That approach may work for tracking awarded contracts, but it fails to support confident ...

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, ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

The deal brings ResiShares’ forecasting models and analytics tools into ATTOM’s national data platform, which covers most U.S ...

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, ...

Accurate forecasts matter as AI-powered data centers drive rapid demand growth. Underestimating demand can strain reliability ...

Update: On July 30, NOAA said the decision was reversed and it will continue receiving the satellite data. Read more here. Our earlier story is below. A satellite program that has historically been a ...

The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...

Forecasting is described as the practice of creating statements that anticipate future information. You should not confuse forecasting with budgeting, which uses future information to create a plan to ...

This study will develop and demonstrate a framework for forecasting long-term costs for preserving, archiving, and accessing various types of biomedical data and estimating potential future benefits ...