Main opportunities in predictive analytics for healthcare involve leveraging AI and machine learning to improve patient ...

The proliferation of EMR systems in hospitals has provided clinicians and administrators with more data and information than ever before. At the same time, managing this deluge of data and extracting ...

By Narayan Kumar Real-time data and predictive analytics are quickly becoming essential for smarter wind farms. Today, ...

As EMRs become more prevalent, there are greater opportunities for hospital IT leaders to leverage valuable medical data to inform future care and improve outcomes. However, this deluge of data is ...

“AIN is the next logical step in our evolution,” said the AINTUITION team. “We started by building one of the world’s most ...

Cygnet.One today outlined how enterprises are beginning to pair predictive analytics with Generative AI to address growing pressure for faster, more accountable decision making. The company noted a ...

In every industry, people often struggle to forecast trends, anticipate market shifts, and understand consumer behavior and are hindered by a lack of predictive clarity. With data coming in from too ...

Ranked by Forrester Research Inc. as a leader in its report, “The Forrester Wave: Big Data Predictive Analytics Solutions, Q1 2013,”* SAP Predictive Analysis delivers a complete data discovery, ...

Opera Solutions is one of the leaders in the area of advanced Big Data analytics, with over 220 machine learning scientists. The company's Signal Hub technologies use advanced machine learning ...

In a major leap toward strengthening public health security, India is set to leverage Artificial Intelligence (AI), real-time ...