LONDON--(BUSINESS WIRE)--Quantzig, a premier analytics solutions provider, has announced the completion of its latest success story that illustrates how predictive analytics solutions helped an ...

Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

The 2025 conference cycle underscored a broader industry trend: AI in pension and financial systems is moving beyond experimentation into core operational use. Professionals contributing to this shift ...

Electronic Health Records (EHRs) have ushered in a transformative era for healthcare, offering vast repositories of clinical data that enable the development of robust predictive analytics models. By ...

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Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

The algorithms often used by colleges to predict students’ likelihood of graduating can produce less accurate results for Black and Hispanic students compared to their peers, a new study says.