White papers
Read about the latest use cases and real-world applications of Causal AI
7 customer stories from Fortune 500s and their Perceived Value Propositions
This piece will take you through 7 different value propositions, through the eyes of 7 different causaLens customers, outlining the specific benefits of Causal AI which helped them to deliver value from their key use cases of interest.
Read moreCausal AI For Enterprises — A Revolution In Machine Learning
Enterprises such as Microsoft and Amazon are adopting Causal AI to revolutionise AI decision making. Here's why you should consider it too.
Read moreHow Can AI Discover Cause and Effect?
Causal AI autonomously finds causes, using “causal discovery algorithms”, while boosting experimentation and human intuition.
Read moreOptimizing Pricing & Promotion Powered by Causal AI
Investments, strategies, and experiments are powerful tools for increasing revenue, margin, and category leadership.
Read moreI Need Causal AI- Now What?
Should you develop Causal AI capabilities in-house, or buy the technology off-the-shelf? We think “build versus buy” is a false dilemma.
Read moreWhy Causal AI Models Outrun Bayesian Networks
Both types of models have some similarities, but they also have significant differences. BNs simply describe patterns. Causal AI models capture the underlying processes that drive those statistical relationships.
Read moreNext-Best-Action with Causal AI
Suppose that your marketing team has identified that one of your business’s key demographics (18-25 year-olds) are at risk of “churning” (abandoning the service).
Read moreCan AI be Fair?
Machine learning systems amplify human biases. Find out how Causal AI de-biases algorithms and promotes fairness.
Read moreThe Real AI Revolution: Machines That Learn Like Scientists
An understanding of causality takes machines beyond learning towards having abilities that mean they might reasonably be described as machine scientists.
Read moreCausal AI: from predicting to shaping the future
Causal AI allows organizations to easily run virtual experiments, facilitating risk-free learning and optimal decisions.
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