March 27 to 29 2017, Santa Clara, USA.

Speaker "Nikki Hallgrimsdottir" Details

Name :
nikki hallgrimsdottir
Company :
Title :
Topic :

From Predicting Demand to Prescribing Action: Operationalizing Prescriptive Analytics in the Enterprise

Abstract :

Combining Machine Learning (ML) and Operations Research and Management Science (OR/MS) allows for using big data to prescribe optimal decisions in daily operations. We explore the suitability of various Statistical Machine Learning techniques to predict outcomes, and a way to compute how effective variables are at informing optimal decision making. To demonstrate the power of this approach in a real-world setting we study an inventory management problem faced by the distribution arm of an international media conglomerate, which ships an average of 1 billion units per year to retail stores. We leverage both internal data and public data scraped from IMDb, Rotten Tomatoes, and Google to prescribe operational decisions that outperform baseline measures.

Profile :
Nikki is a VP of Growth at Algomus, providing Turn-Key AI Powered Business Intelligence and Advanced Analytics as a Service to Manufacturers, Distributors, and Retailers. Her professional experience is rooted in Industrial Automation and Design Optimization with expertise in IoT Hardware, Machine Vision, Supply Chain Traceability, Industrial Automation, and Multiphysics Simulation technologies.

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