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Causal Portfolio Optimization
Causal AI for intelligent portfolio optimization Traditional portfolio optimization theories and machine learning-based portfolio construction are good in theory but fail in practice. This is ...
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Explore Causal AI-powered applications deployed in leading organisations that are critical to solving their most challenging use-cases.
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Real Estate Investment Optimization
AI that actually works for real estate investment Real estate investors have been slow to adopt AI, and understandably so. Machine learning algorithms can’t function with small datasets that are ...
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Credit Risk Management
Causal AI: AI lenders can bank on Lenders must be able to evaluate loan default risk rapidly and accurately. Current machine learning technologies exacerbate risk, degrading under normal ...
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Customer Churn Prediction to improve Retention
Stop predicting churn Churn prediction is a common use-case for AI, but the results are typically underwhelming. Typical churn models fail to respect the business’ constraints and goals and ...
Read moreCustom decision apps tailored to your organization
Developing and maintaining successful enterprise AI solutions is challenging. causaLens’ intuitive UI enables all users to create sophisticated decision apps within hours — that are customized to the organization’s distinctive challenges, constraints and objectives. Tech savvy users can plug into a full-stack API to boost the organization’s app development.
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Request a democausaLab: the Next Frontier in Counterfactual Modelling
causaLab, the causaLens platform module that allows data scientists to easily produce causal models. We’ll illustrate real-world scenarios in which standard modelling fails, give some background into the theory behind causal inference, and fit causal modes using causalNet.
decisionApps → From Models to Decisions
decisionApps empower data scientists and engineers to deliver the power of Causal AI to business stakeholders, allowing them to quickly make optimal decisions.
