Predictive analytics has become one of the most practical technologies shaping modern business strategy. While it is often grouped with advanced AI or experimental data science, its real value shows ...

WASHINGTON, Nov 24 (Reuters) - U.S. President Donald Trump on Monday signed an executive order to launch a government-wide effort to build an integrated artificial intelligence platform to harness ...

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This predictive software analyzes data to flag behaviors that could lead to policy violations. The program is intended to be preventative, offering training and mental health resources rather than ...

Kellanova, in partnership with data firm Vidmob and MMA Global, has found it can more quickly connect the dots between campaign creative and business outcomes by leveraging artificial intelligence to ...

In 2024, almost 70% of all U.S. hospitals were using predictive artificial intelligence, the Assistant Secretary for Technology Policy/Office of the National Coordinator for Health IT revealed in its ...

Hospitals are increasingly using predictive artificial intelligence in healthcare delivery, but small, rural, independent and critical-access hospitals are lagging behind, according to data released ...

Abstract: Selecting appropriate Machine Learning (ML) techniques for fault prognosis remains a critical yet often understructured step in developing predictive maintenance strategies for industrial ...

Feline Leukemia Virus (FeLV) is an incurable retrovirus that suppresses the immune system in cats. Diagnosis requires distinguishing between a progressive infection (active virus, poor prognosis) and ...

MammaPrint effectively predicts chemotherapy benefit and distant recurrence-free interval in HR+HER2- early breast cancer. High-risk patients benefit significantly from chemotherapy, while low-risk ...

AI-powered algorithms can help farmers increase crop yields for food manufacturing. Further downstream in factories, large language models can improve factory-worker efficiency. This article is part ...