Prescriptive analytics is nothing short of automating your business. But there's lots of hard work, and many stages you need to go through before you get there.

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 ...

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 ...

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 ...

Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, “What is likely to happen?” ...

As various machine learning, deep learning, and AI frameworks improve, predictive analytics will almost certainly become more accurate and dependable for longer-range predictions and projections.

Institutions can make forward-looking, data-driven decisions based on predictive analytics with time-series forecasting models, multiple types of regression analysis and machine learning algorithms.

Drawing on technology from its recent acquisition of MaxGrip, AVEVA is delivering its prescriptive maintenance capabilities to help customers save major costs through unplanned ...

Additionally, advancements in artificial intelligence and machine learning algorithms are empowering prescriptive analytics tools to deliver more accurate and actionable recommendations. Furthermore, ...