Predictive modeling uses known results to create, process, and validate a model to forecast future outcomes. It is a tool used in predictive analytics, a data mining technique.

Predictive analytics enables users to go beyond knowing what has happened to assess what will happen in the future.

Cybersecurity experts are constantly trying to keep pace with changes in the volatile landscape of IT security. Despite sophisticated tools and solutions, every IT security officer knows that data ...

Unlocking Actionable Insights Through Data The recent pandemic shined a light on the power of predictive analytics paired with AI.

Combined with real-time data analytics, predictive models can use stream processing to calculate what might happen in the future, but at a faster pace. At the University of Central Florida, for ...

Predictive analytics offers brands a powerful tool to boost customer retention and improve the customer experience. By leveraging data and predictive modeling, brands can gain granular insights ...

Tableau, TIBCO Data Science and Sisense are among the best software for predictive analytics. Compare their features, pricing, pros and cons.

How can predictive analytics hone your marketing efforts? Predictive analytics is the backbone of data-driven marketing. The following are some of its top applications in marketing.

As the federal government makes headway with predictive data analytics at the federal level — using automation and better data management to try and put itself in a proactive position — agencies are ...

One strategy health executives are considering is investing in predictive modeling technology that can help them manage patient demand and outcomes in the coming year.