White papers
Read about the latest use cases and real-world applications of Causal AI
How to Connect Business Teams and Data Scientists
Increase the relevance of data science to the business! Causal […]
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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...
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How Financial Institutions Can Reduce AI Regulation Risk
Regulations, proposals and guidance on the use of artificial intelligence (AI) for financial institutions are arriving thick and fast.
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How Human-Machine Teams Can Out-Think Fraudsters
Causal AI, a new form of human-centered AI, gives banks an extra layer of intelligence in the fight against payment...
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Certifying AI Fairness
causaLens’ research sets out an actionable framework that enables businesses and regulators to test AI systems for bias and discrimination.
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The Next Chapter in AI for Marketing
Legacy Machine learning (ML) is designed to make predictions. It finds correlations and projects them into the future.
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AI that Actually Works for Real Estate
Real estate investors have been slow to adopt AI, and understandably so. Machine learning algorithms can’t function with small datasets...
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Why data providers need Causal AI
To compete in a crowded market, data providers must be able to move up the data value chain, delivering not just...
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Causal Portfolio Optimization: Modern Portfolio Theory 2.0
Leading portfolio managers are leveraging Causal AI to boost risk-adjusted returns. Find out how.
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