Modern industry is moving beyond simple monitoring. By integrating Predictive AI with a digital twin service, businesses are ...

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 ...

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: ...

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 ...

What’s launching today is Pecan’s “predictive agent,” an autonomous system that can interpret a company’s unique data structure, or “fingerprint,” by breaking down the predictive workflow into ...

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 ...

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 ...

GenAI is super advanced – but it doesn’t replace predictive AI, it only augments it. The two will remain intrinsically distinct, even as they’re strategically married. The future is the ultimate ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Andrew Ferguson, American University Washington College of Law and planning committee member, provided the opening presentation for a session focused on theoretical underpinnings, examples of use, and ...