Streamlining AI Projects with Kedro: From Chaos to Clarity

Managing multiple AI and data science projects often means dealing with inconsistent workflows, fragmented tooling, and avoidable technical debt. But what if there was a way to unify, streamline, and accelerate your team’s path to production?

Join Oleg Litvinov, Lead Data Scientist based in Amsterdam, as he shares how his team adopted Kedro to bring structure and scalability to their AI initiatives.

In this 45-minute online session, Oleg will:

• Unpack common pain points in managing diverse data science projects
• Introduce Kedro and show how it integrates with popular tools like Airflow and MLflow
• Walk through a live demo using a project-agnostic "platform template"
• Share real-world outcomes: faster production deployment, easier maintenance, and team-agnostic workflows
• Discuss whether Kedro works standalone or alongside other tools — and why his team sticks with it

Who should attend?

• Data scientists & ML engineers frustrated by project inconsistency
• Tech leads & architects looking for scalable DS/ML project standards
• Anyone evaluating Kedro or similar frameworks for production-grade workflows