Predictive data analytics startup Pecan AI Ltd. today announced a new capability called Predictive GenAI — and as the name suggests, the new feature combines the company’s artificial ...

Problem: While anyone can use genAI, predictive AI is generally out of reach. Solution: Use genAI to steer your predictive AI project. So much potential. Predictive AI often delivers more value than ...

Business leaders today are navigating an era of complex uncertainty, where risk moves faster than traditional oversight can keep up. From global supply chain volatility to internal compliance ...

With so much attention devoted to the purported wonders of predictive cognitive computing models (typically characterized by classic machine learning and deep learning), it’s easy to lose sight of the ...

You have /3 articles left. Sign up for a free account or log in. Predictive models are used across the student life cycle in higher education, to gauge yield in ...

Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and ...

CRISPR-Cas9 technology is used to knock out or modify DNA in research mice to study disease phenotypes and develop new treatments. CRISPR mice and rats are offered by Charles River, which uses genetic ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...