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It is an insight engine, providing not only data for descriptive and diagnosticanalytics applications, but also providing essential data for predictive and prescriptive analytics applications. This book is a very timely contribution to the world of industrial digital transformation. 4) The DT Canvas (chapter 4)!
Integrating IoT and route optimization are two other important places that use AI. Artificial Intelligence Analytics. Tasks which include billing, scheduling, operating machines like forklifts and workforce management can be enabled with an AI-driven warehouse management system, fleet management system or freight management system.
There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnosticanalytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable.
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