In an era where aviation reliability and operational efficiency are paramount, sensor-ready coatings represent a ...
Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...
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A Year Of Quiet Progress: How Tariffs And AI Shaped M&A In 2025 And What To Expect In The Year Ahead
As 2026 approaches, dealmakers face a dual challenge: balancing macro uncertainty with the transformative potential of the ...
AUSTIN, Texas and TOKYO, Dec. 29, 2025 /PRNewswire/ -- According to DataM Intelligence, the Healthcare Cloud Computing Market ...
As Polymarket and Kalshi continue to grow in popularity, they have worked with social media accounts claiming to be breaking ...
Leaders run the risk of losing their strategic edge by blindly pushing AI for the sake of AI. Companies can no longer win the ...
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 ...
Abstract: Artificial Intelligence (AI) has the potential to improve forecasting accuracy, enhance risk management, and streamline decision-making, there has been an increasing amount of interest in ...
Machine Learning in HR Analytics: A Comparative Study on the Predictive Accuracy of Attrition Models
Abstract: One of the biggest challenges in human resource management is forecasting staff loss. This study will compare ML models. The research identifies the best accurate forecasting techniques to ...
If inventory feels like a guessing game, it’s because most brands still run it that way. One person updates a sheet, another person changes a PO, a third ...
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