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Causal AI, supply chain risk, and the decisions in between.

Perspectives from the team building supply chain resilience — what the data actually shows, and what to do about it.

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Supply Chain Resilience

Measuring Supply Chain Resilience: Decision Latency and Value at Risk

Mean time to recovery is an outdated way to measure resilience. Two better measures: decision latency, how fast you can act, and value at risk, how much value your resilience actually protects.

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Causal AI

Altana Alternative: A Causal AI Approach to Supply Chain Risk

Evaluating an alternative to Altana? Altana is a powerful supply chain knowledge graph. Here's a fair look at what it does well, and where a causal reasoning approach fits the decision better.

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Supplier Risk

Single-Source Dependency: Finding and Fixing Concentration Risk

Single-source dependency is a hidden single point of failure, and the worst of it often sits below Tier 1. What supplier concentration risk is, how to find it, and how to reduce the dependencies that would actually hurt.

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Supplier Risk

Supplier Risk Assessment: Metrics, Scoring and Red Flags

A supplier risk assessment turns a supplier from a name on a contract into a scored, ranked view of how likely they are to disrupt you. Here's how to assess and score supplier risk, the metrics that matter, and the red flags to watch.

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Causal AI

Causal AI vs Generative AI: The Difference That Matters

Generative AI creates; causal AI decides. This explains the difference between causal AI and generative AI, why they're complementary rather than competing, and why the distinction matters for real decisions.

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Causal AI

What Is Causal AI? A Plain-English Guide for Business Leaders

Causal AI works out cause and effect, not just correlation. This plain-English guide explains what causal AI is, how it works, why it matters for decisions, and where it's used.

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