White papers
Read about the latest use cases and real-world applications of Causal AI
Towards Artificial Imagination
This paper introduces how, via artificial imagination, Causal AI supercharges business' insight-generation and diagnostic capabilities
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Why machine learning “succeeds” in development but fails in deployment
At a glance… The pandemic has exposed weaknesses in conventional machine learning (ML) algorithms, which have been unable to adapt […]
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Incoming EU regulations on Enterprise AI: why you need to prioritize the adoption of Causal AI
Incoming EU regulations on Enterprise AI call for more explainable AI. Here's why it's time to prioritise the adoption of Causal AI.
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5 Steps to Prepare for AI Regulations
AI regulations are arriving, and rapidly. Abstract frameworks and guidelines are crystallizing into binding regulations with big penalties for noncompliance.
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Truly Explainable AI: Putting the “Cause” in “Because”
Truly explainable AI (XAI), can be achieved through Causal AI. Causal AI models are both highly accurate and inherently explainable
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AI that SME lenders can bank on
SME lenders must be able to evaluate loan default risk rapidly and accurately, amid volatility and crises. CausalAI delivers 5x better performance than conventional machine learning systems during crises, and 13% more PnL under normal conditions.
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Empower Experts with Causal AI
Causal AI empowers experts by utilising causal inference to make decisions based on cause and effect. Harness causality in your enterprise AI.
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Why Correlation-Based Machine Learning Leads to Bad Predictions
Machine learning models often fail in production due to spurious correlations. Causal AI can fix this problem.
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How to Connect Business Teams and Data Scientists
Increase the relevance of data science to the business! Causal AI models are premised on business insight, and directly enhance […]
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Explaining the News: Why Capital Markets Need Causal AI
Nearly all players in capital markets believe that AI is critical to their future success. However, AI adoption also poses serious, even existential, risks for enterprises that misapply the technology.
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