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Making Better Decisions with Decision Science

Enterra Insights

Jacobson , a Founder Professor of Computer Science at University of Illinois (Urbana-Champaign), “We live in a data-centric world, with artificial intelligence (AI) as the engine that increasingly drives decision-making.”[1] This means a Decision Scientist needs to have a strong business acumen as well as a robust analytical mind.

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Rivian: Navigating Supply Chain and Operational Challenges and Embracing Growth

SCMDOJO

is an American electric vehicle manufacturer and automotive technology company which has emerged as a prominent player in the highly competitive automotive industry. With its manufacturing operations situated in Normal, Illinois, Rivian’s presence has had a profound impact on the local economy.

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You Teach People How to Treat You

BlueYonder

Gina shares her journey working through enterprise software, taking lessons learned along the way to become a servant leader, using Objectives and Key Results (OKRs) to align her team, and ensuring she’s mindful that we are always teaching people how to treat us. . Where did you go to school, and what was your first job?

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You Teach People How to Treat You

BlueYonder

Gina shares her journey working through enterprise software, taking lessons learned along the way to become a servant leader, using Objectives and Key Results (OKRs) to align her team, and ensuring she’s mindful that we are always teaching people how to treat us. . Where did you go to school, and what was your first job?

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Experts Choice Of Top Online Logistics Resources

Freightos

One of the most comprehensive daily summaries, and by far the leading Asian-based summary, China’s Shipping Gazette provides daily information about carriers, forwarders and technology. UK-based logistics website with exceptional content and unique opinion pieces, often centered around shifting technology trends. The Loadstar.

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So You Want to Make the Perfect Logistics Model

Logility

And by debilitating, I mean an enormous analytical time sink — think months. A good logistics model is designed to predict the future. A logistics model can be as complex or simple as a modeler wishes, however it always needs to be believable and grounded in the actual costs of a system. Why do we build logistics models?

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