Typically this is done by using existing data to train predictive machine learning (ML) models. Prescriptive analytics is the final stage in the analytics evolutionary path, with the ultimate goal ...

Predictive analytics -- trying to predict what will happen in the future -- is in the limelight. Today many organizations are scrambling to utilize predictive models leveraging data and Machine ...

Prescriptive analytics to course-correct. A lot of people are familiar with the notion of predictive analytics. Aided by machine learning and artificial intelligence technology, organizations can use ...

While the term "prescriptive analytics" was first coined by IBM in 2010, it has been adopted by many others since and has grown in usage as the adoption of machine learning and artificial ...

The new analytics mandate is descriptive, predictive and prescriptive in context. When I meet with CIOs or executive sponsors, one of the first things I do is map out their analytics maturity curve.

Advances in machine learning, AI models and algorithms have made prescriptive analytics possible, by analyzing very large data sets, making sense of the data and proving data-driven campaign ...

In today’s data-driven landscape, businesses are continually seeking actionable insights to stay competitive. Prescriptive analytics, the advanced analytics discipline, goes beyond predictive ...

For many businesses, data is a precious commodity. Its ability to reveal insights about an organization is unprecedented, which is why it has become a major driver for the adoption of the Internet of ...