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 ...

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 ...

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, ...

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, ...

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

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 ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

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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 ...