Causal Wizard: Helping subject matter experts get causal insights from historical data

Causal Wizard: Enabling subject matter experts to understand the effects of change with causal insights from historical data.

Link to Causal Wizard: https://causalwizard.app

From the August 2023 Melbourne Machine Learning and AI Meetup: www.meetup.com/machine-learning-ai-meetup/events/293542342/

Talk Description: When considering changes to the operation or maintenance of complex infrastructure, assets or products, many key questions are inherently causal - what would have happened under different investment scenarios? What is the effect of changing a policy or process? Using ordinary ML techniques to predict the outcome of these counterfactual and interventional problems is likely to give misleading results. But Causal Inference techniques can be combined with ML, expert domain knowledge and historical data to more accurately predict the effects of change. This talk will explain how these elements come together and introduce a new tool called https://CausalWizard.app that makes these techniques easy for everyone to use.

Speaker Bio: Dave has been working on applied AI and Machine Learning for over 20 years in both academia and industry, beginning with an undergraduate degree in computer science and artificial intelligence and later a PhD in computer vision for mobile robot navigation. For several years he has been working in engineering data-science for a variety of government and industry clients. The need to find good answers for their questions drove him towards Causal Inference, the topic of his talk. In 2023, he helped to create an app called Causal Wizard (https://causalWizard.app), which enables subject matter experts without programming experience to make use of ML Causal Inference tools.

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