Insights

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Mean time to recovery is an outdated way to measure resilience.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

Interos Alternative: Causal Intelligence for Resilience

Evaluating an Interos alternative? Interos excels at real-time monitoring on a business-relationship graph. Why causal intelligence adds the reasoning that turns detection into a defensible response.

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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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Causal AI

Comparing Supply Chain Risk Platforms: A Buyer's Framework

Most supply chain risk platforms look alike in a demo. A buyer's framework for comparing them on what matters, and the deeper divide between mapping relationships and reasoning about cause.

8
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Industry Insight

MRO Supply Chain Risk in Mining and Oil and Gas

In asset-intensive industries, a missing spare part can idle a multimillion-dollar asset. Why MRO supply chains carry such high-stakes risk, and how to manage it with a value-at-risk mindset.

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Industry Insight

Government Supply Chain Risk Management: Defensible by Design

Government supply chain risk demands defensible, auditable decisions and sovereign resilience, not just good outcomes. What makes public-sector risk different, and how to manage it.

6
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