Resource Hub
Gain insights into Causal AI from blogs, white papers, case studies, webinars, and more.
AI that speaks the Language of Executives and is aligned to their Objectives
Traditional AI techniques & Generative AI are applicable for certain use cases, especially around unstructured data, but do not offer…
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The Causal AI Revolution is Underway
Enterprises such as Microsoft and Amazon are adopting Causal AI to revolutionise AI decision making. Here’s why you should consider…
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How Can AI Discover Cause and Effect?
Causal AI autonomously finds causes, using “causal discovery algorithms”, while boosting experimentation and human intuition.
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Optimizing Pricing & Promotion Powered by Causal AI
Investments, strategies, and experiments are powerful tools for increasing revenue, margin, and category leadership.
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I Need Causal AI- Now What? Build vs Buy
Should you develop Causal AI capabilities in-house, or buy the technology off-the-shelf? We think “build versus buy” is a false…
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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…
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…
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Can AI be Fair?
Machine learning systems amplify human biases. Find out how Causal AI de-biases algorithms and promotes fairness.
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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…
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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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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 […]
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Incoming EU AI 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…
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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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