Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

AI takes predictive analytics—a broad discipline that includes predictive modeling, data prep, analysis workflows, ...

The availability of low-cost business analytics tools has motivated many organizations to roll out customer profiling and predictive analytics applications in the hopes of revitalizing their marketing ...

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

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 ...

Boris Kontsevoi is a technology executive, President and CEO of Intetics Inc., a global software engineering and data processing company. In an era where the unexpected is becoming the norm, the ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Predictive analytics relies on constructing models that generalise well from historical data to unseen instances. Central to this endeavour are model selection techniques, which aim to identify the ...

Addiction treatment produces data at every step. An intake assessment, a symptom score, a missed appointment, a medication ...

How can traders better measure fixed income execution? Explore how advanced analytics can sharpen benchmarks and manage ...

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.