Explore how AI is shaping cybersecurity in 2026, enhancing security operations, API governance, and compliance amidst ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
Why traditional safety metrics fail to prevent serious injuries and fatalities—and how AI helps EHS teams identify PSIF risks ...
Most supply chain practitioners already understand the value of a Software Bill of Materials. SBOMs give you visibility into ...
Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
Qatar Moments on MSN
Data leadership that drives real value
Financial services data leaders face a fundamental paradox: they have unprecedented access to data assets, yet they continue ...
Allianz and Anthropic announce a global partnership to integrate Claude AI models into insurance workflows, focusing on ...
Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...
In 2026, boards won’t ask if you use AI — they’ll ask if you truly understand, control, and can explain how it’s steering the ...
APA has a mental health evaluation framework. I opted to augment the framework with an added focus on AI. Makes sense and is ...
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