The second machine age is allowing us to understand and shape our environments using computers and other digital advancements. We’re now seeing unsupervised learning systems that learn faster, require less data, and achieve impressive performance. These supervised and unsupervised intelligent automation techniques can drive automation and enrich their domain experts — not replace them by helping them work more effectively. Intelligent automation driven by Artificial Intelligence (AI) and machine learning (ML) are disrupting the way companies do business. The rapid deployment of automation is helping us set new standards of efficiency, speed, and functionality. Intelligent automation will help demand planners to sense and synthesize vast amounts of information boosting the FVA process guiding demand planners with surgical precision to work smarter.

From Issue: Demand Forecasting in the Cloud: Modern Computing Meets the Forecasting Discipline
(Fall 2018)

Machine Learning Is Disrupting Demand Planning
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