Prescriptive analytics makes use of machine learning to help businesses decide a course of action, based on a computer program’s predictions.

Certainly most examples require machine learning, a significant element of data analytics, and – increasingly – support from artificial intelligence software.

Organizations that invest in analytics without an aligned data & analytics strategy are burning money in the name of data. Here’s how you can create a successful data strategy that delivers value.

Data analysis, the conduit from raw information to actionable insights, enhances decision-making and problem-solving.

Below are three real-world examples of the way in which soccer analytics are impacting MLS, as clubs increasingly lean on data and analytics for insights into various aspects of their operations ...

Predictive analytics and predictive AI can help your organization forecast outcomes based on historical data and analytics techniques.

The landscape of sports betting is evolving at a rapid pace, driven by advances in data analytics and predictive modeling.

In Data & Analytics, you will discover the narratives behind the numbers—exclusive deep dives into AI-driven browser rollouts, comprehensive survey results benchmarking data maturity across sectors, ...

Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyze and report insights from ...