Significant Risks and Responsibilities in the Clinical Use of AI Predictive Models. Comment on: “AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: ...

Using data to make business decisions is no longer a luxury; it’s an expectation. For companies looking to grow and gain a ...

Abstract: Advanced industries such as wind turbines aim for condition-based maintenance (CBM) to enhance system availability and reach higher revenue. Hence, decision making plays an essential role in ...

The "AI in Agriculture: Global Markets" report has been added to ResearchAndMarkets.com's offering. The global market for AI in agriculture is estimated to grow from $2.8 billion in 2025 to reach $8.5 ...

Mariana Tataryn of Deloitte designs financial systems for billion-dollar organizations — and explains why women in tech need more than just a seat at the table — they need real influence.

Predictive maintenance and artificial intelligence are rapidly reshaping how American businesses keep equipment running, but ...

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: 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 ...

Gina Mastantuono, president and CFO, ServiceNow: “In 2026, AI will be judged less on promise and more on proof. Enterprises ...

For many construction companies, the workforce now blends traditional skills with data analytics literacy, AI proficiency and ...

MaintainX reports a rise in predictive maintenance adoption and AI usage, though challenges like aging equipment and cost ...

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