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5 Models of AI for Supply Chain Risk Management—And Why They Matter

Resilinc

Welcome to part three of our AI in Supply Chain blog series. In this blog, we explore the different types of predictive AI models for supply chain risk management. In our second AI blog of the series, Predictive AI vs. Generative Supply Chain AI , we looked at the difference between predictive AI and generative AI.

Modeling 114
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Artificial Intelligence: An Essential Tool for Digital Supply Chains

Enterra Insights

What’s propelling these successes are automation, artificial intelligence (AI), and machine learning (ML).”[2]. AI and the Supply Chain. … Artificial Intelligence and Machine Learning must be integrated with operations to draw actionable insights, predict events, and prescribe relevant actions.”[3] ”[2].

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Harness Information Overload

LevaData

With that said, we’re proud to announce the launch of our new integrated executive center. With our new integrated executive center, key findings and recommendations from our platform’s always-on analysis are aggregated and presented in one holistic, streamlined view. . But what do these insights and analytics comprise?

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Innovation in the Digital Age

Enterra Insights

To become a leader in the Digital Age, BCG analysts suggest companies should answer the following questions: How do we build a new set of capabilities to harness digital innovation and create new competitive advantage in our core business? How do we adopt new ways of working that enable us to move at digital speed?