HIT Consultant

Healthcare AI’s Decision Intelligence Mandate: Turning Predictive Analytics into Timely Clinical and Operational Action

Healthcare analytics leader Sachin Girdhar outlines why health systems must transition from predictive AI dashboards to ...
techtarget

Ten steps to start using predictive analytics algorithms effectively

There's a growing trend among businesses to use predictive analytics algorithms to boost their bottom line. Compared to descriptive analytics, which provides a perspective on what has already happened ...
PR Newswire

XtalPi and Fangda Carbon Deploy Predictive AI to Optimize Cost and Material Efficiency in Graphite Electrode Manufacturing

The jointly developed AI model has passed comprehensive acceptance testing and is now operating within Fangda Carbon's production workflow. By ...
HPCwire

Quantum Algorithms Institute Drives Predictive Model Accuracy with Quantum Collaboration

SURREY, British Columbia, Nov. 12, 2024 — Today, the Quantum Algorithms Institute (QAI) announced a partnership with Canadian companies, AbaQus and InvestDEFY Technologies, to solve common challenges ...

BestEx Research Adds US Equities to Pre-Trade Analytics Suite with Predictive Transaction Cost Model Accounting for Speed and Time of Day

BestEx Research Group LLC, an independent provider of execution algorithms, trading technology, and trade analytics for global equities and futures, today announced the launch of the Pulse Market ...
Healthcare IT News

Geisinger, IBM develop new predictive algorithm to detect sepsis risk

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...
StateScoop

Why don’t more child welfare agencies use predictive risk models?

In January, the Idaho Department of Health and Welfare plans to launch a predictive analytics model as part of its child welfare program. The goal is to improve case management, reduce unnecessary ...