White papers
Read about the latest use cases and real-world applications of Causal AI
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 scams and novel fraud tactics.
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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 that are ubiquitous in real estate, and they can’t incorporate investors’ deep domain knowledge. Causal AI solves these challenges
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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 raw data but signals and solutions.
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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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