PiEvolve: Evolutionary Workbench for Enterprise ML & Optimization

Hack Session

About the session

This deep-dive hack session will showcase how PiEvolve - ranked #1 on OpenAI’s MLE-Bench, outperforming leading AI labs with markedly higher compute efficiency - enables enterprises to move from fragmented, unstructured data to fully operationalized, decision-ready machine learning workflows. You will see how the platform frames complex business problems using domain knowledge, governance rules, and ontology, then applies evolutionary optimization to drive measurable outcomes at scale.
You'll learn:
How to translate raw enterprise data into structured, business-aligned ML problem statements
Approaches to embedding governance, domain context, and reproducibility into experimentation
How evolutionary optimization enhances model performance across feature engineering, modeling, and hyperparameters
Best practices for scaling ML experimentation with versioned data, integrated compute, and platform connectors
How to bridge technical outputs and business impact through automated reporting, surfacing actionable insights and strategic recommendations

Join us if you are looking to operationalize AI/ML in a way that is both technically rigorous and directly tied to business value.

Speaker

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