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Are we still on prediction?
Traditional MACHINE LEARNING only predicts how your business, plant or machine will operate based on existing configurations. Even generative models s.a. ChatGPT, DALL-E2 and other GPT-3, GPT-4 models do not fully capture the crucial causal relationships that are necessary to move beyond prediction to counterfactuals, the bedrock for root cause analysis and optimization applications.
Decision Intelligence requires causal inference.
OPUS-C employs the latest advances in causal AI to help you make decisions on what changes to make to your configuration for improved results. Making use of domain knowledge in the form of causal graphs and previously-known relationships between variables, a causal generative model is now placed at your disposal for AI-augmented decision making.
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