How To Use Predictive Analytics & Machine Learning In Your Business Processes

Webinar Details

Duration: 60 minutes

Businesses can gain significant long-term benefits by applying predictive analytics and machine learning to their operational and historical data to identify and respond to new opportunities more quickly.

Unlike traditional business intelligence practices, which are more backward-looking in nature, predictive analytics approaches are focused on helping companies glean actionable intelligence based on historical data.

Predictive analytics is especially useful in situations where companies need to make quick decisions with large volumes of data.

What we’ll cover in the webinar:

• How to create a predictive model on Microsoft Azure ML using it’s drag and drop user interface;
• Publish your predictive model
• Embed it into an operational business process

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Pieter van Schalkwyk, CEO, XMPro  | B.Eng. M.IT

After qualifying as a mechanical engineer Pieter started his career as a Plant Engineer for a large chemical manufacturer. He transitioned to software in the mid 1990’s after developing a number of IT based solutions to improve quality management processes at his mechanical engineering company. Pieter has since acquired more than 15 years experience in developing business performance management solutions and has seen the change from structured, prescriptive and factory-style processes to more adaptive, collaborative knowledge based processes that require a dynamic, event based approach.