A new partnership brings predictive weed mapping to more Prairie farms, using multi-year imagery to forecast patch-prone zones and support targeted herbicide plans.

How AI Is Integrating Fire Prevention Into Modern Security Service Models Fire prevention is no longer treated as a ...

Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...

Banks and insurers must unify fragmented decisions to manage risk, regulation and customer expectations in real time.

Researchers from the University of Chinese Academy of Sciences and collaborating institutions have developed a novel ...

The growth of the customer journey mapping software market is primarily driven by increasing focus on customer experience management across ...

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 ...

Examines how Kranthi Kumar Routhu anticipated major shifts in AI-driven human capital management, from skills intelligence ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...