Predictive analytics uses historical data and statistical models or machine ... I’ve seen clients use predictive models to forecast sales pipeline health, identify fraud risk in real-time ...

A focus on these types of data can help healthcare leaders pinpoint opportunities to improve overall performance by reducing expenses, building better health ... understand the role of data ...

What if data could help predict a patient's prognosis, streamline hospital operations, or optimize human resources in ...

In the healthcare technology landscape, generative AI (GenAI) is emerging as a valuable companion to longstanding predictive AI solutions. GenAI refers to AI that can assist in creating content — such ...

A United States-based data scientist, Philip Agbara, is gaining recognition for his use of predictive analytics and machine learning in addressing public health crises and other critical sectors, ...

MARIETTA, Ga., May 05, 2025 (GLOBE NEWSWIRE) -- MiMedx Group, Inc. (Nasdaq: MDXG) (“MIMEDX” or the “Company”) today announced the publication of its health economics data for ...

MARIETTA, Ga., May 05, 2025 (GLOBE NEWSWIRE) -- MiMedx Group, Inc. (Nasdaq: MDXG) ("MIMEDX” or the "Company”) today announced the publication of its health economics data for reconstruction of ...

Neo4j, a leading graph database and analytics company, is introducing Neo4j Aura Graph Analytics, a new serverless offering that can be used with any data source and with Zero ... the economy and to ...

The paper highlights that much of the perceived accuracy of AI models stems from artifacts of the modeling process rather than mechanisms grounded in economics. His analysis identifies two major ...