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Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. Prescriptiveanalytics helps companies see where process improvements could have the biggest, most immediate impact on their bottom line.
Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.
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Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. I recall a “Data Drinkup Group” gathering at a pub in Palo Alto, circa 2012, where I overheard Pete Skomoroch talking with other data scientists about Kahneman’s work.
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