White papers

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.

Causal 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.

How Can AI Discover Cause and Effect?

Causal AI autonomously finds causes, using “causal discovery algorithms”, while boosting experimentation and human intuition.

Optimizing Pricing & Promotion Powered by Causal AI

Investments, strategies, and experiments are powerful tools for increasing revenue, margin, and category leadership.

I 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.

Why 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.

Next-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).

Can AI be Fair?

Machine learning systems amplify human biases. Find out how Causal AI de-biases algorithms and promotes fairness.

The 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.

Causal 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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