How does Etio AI® Work?
Decision assistance and automation AI.
Etio’s decision platform enables decisions at scale by applying industry-leading AI, Decision Intelligence, and Automation to decision making.
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Distil complex analysis into curated insights.
Etio’s AI-powered digital cockpit provides business-wide oversight of data, KPIs, and curated datasets – helping decision makers to understand what is going on at a glance , without the need for too much supporting detail. Responsive dashboards and intelligent alerts enable teams to use data to improve decision making.
Etio presents an analysis of data in a simple and beautiful visual way to help you find sides to the story that you never imagined. We’ve already built the models and written the queries for the most useful answers to your questions: from computing growth in impact to seasonal trends about product sales or analysing the change in your dataset.
Predict future events.
Etio’s predictive power drives accurate prediction and forecasting to provide foresight in a range of business scenarios.
Etio’s autonomously learns and predicts using automated learning and inference and runs and operates the complete pipeline from dataset ingestion to deployed and verified machine learning models.
In an AI-driven system, the right level of explanation is key. Etio describes predictions and forecasts with confidence levels and clear explanations that help you understand how the system works.
Collaborate and set decision actions.
Collaborate on decisions anywhere, anytime.
Etio brings your team together wherever you are so you can continue to collaborate, manage and track your decisions in one place with the collaborative decision making features that are needed for your teams to collectively make choices from the alternatives before them.
Causal Discovery and Outcome Evaluation
Evaluate the outcome of every action and discover causal effect.
Etio’s Causal Discovery AI fully autonomously discovers to what extent different actions and interventions have contributed to an incremental lift in metrics and indicators.
Causal inference answers the question of “why” something happens and determines whether changes in X cause changes in Y. Our causal discovery engine infers the expected effect a given intervention had on an outcome