Morning Overview on MSNOpinion
Firms hire AI specialists over data engineers, and it’s backfiring
Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can ...
Wire Belt metal conveyors (Flat-Flex®, Eye-Flex®, Compact-Grid®): hygiene, efficiency, automation for food, automotive & ...
MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...
In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...
Electricity has now become the single largest employer in the global energy system, overtaking oil, gas and coal. India is ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
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 ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Amilcar has 10 years of FinTech, blockchain, and crypto startup ...
Abstract: As we are now experiencing the advance of smart factories as a phenomenon of the Industry 4.0 paradigm, predictive maintenance takes the place of critical importance in optimizing the ...
Abstract: This paper proposes an adaptive AI-based predictive maintenance model particularly suitable for smart factories in view of dynamic operational conditions, non-stationary environments, and ...
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