Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
A new technology provider is aiming to bring advanced forecasting capabilities to an industry still heavily reliant on spreadsheets and static ERP rules. Lantern, a newly launched demand forecasting ...
Demand for Big Data services is increasing. Palantir, a leader in the field, should benefit. Here are the forecasts and price predictions for PLTR stock.
The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...
The shift from volume to value requires more than enthusiasm. It requires engineering discipline, business ownership and the ...
AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...
The system generates daily forecasts of cargo tonnage, ULDs, and piece counts by flight, truck, customer, transport mode, and ...
The "In Silico Clinical Trials Market - Global Forecast 2025-2032" report has been added to ResearchAndMarkets.com's offering. The in silico clinical trials market is undergoing rapid transformation, ...
Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...
The ability to predict customer behavior and react to it in a consistent, data-driven manner will become table stakes for ...
Malaysian award expands national flood forecasting footprintWorld Bank-funded Indonesia program advancesGlobal insurers increasingly rely on ...
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