Predictive analytics is the use of statistics and modeling techniques to determine future performance based on current and historical data.

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Overview: Claude 4 generates accurate, scalable code across multiple languages, turning vague prompts into functional solutions.It detects errors, optimizes per ...

Here are 15 data management and data analytics technology companies, part of the 2025 CRN AI 100, that are playing an outsized role in AI today.

Ursa Health has introduced new capabilities to Ursa Studio, its ground-breaking healthcare analytics development platform, to help organizations meet ...

One Model, a company developing a data science-driven platform for HR, has raised $41 million in a funding round.

Summary Data censoring is a significant issue in the realm of analytics and model building, particularly in the context of credit applications.

Predictive analytics integrates data from various sources (such as enterprise resource planning, point-of-sale, and customer relationship management systems) to predict future outcomes based on ...

Ken McFarlane of CluePoints shares insight on better, smarter ways to detect risk, streamline data review, and automate ...