The economic waters are a bit choppy lately, and escalating costs are a huge concern for all companies. But it’s important to continue innovating with AI, to maintain a competitive edge.
What if there was a way to make the entire AI lifecycle efficient and effective?
A way to reuse existing components, share resources, continuously roll out new AI services, all while keeping costs from spiralling out of control.
In this session, Jiri shares enterprise secrets to establishing efficient systems for ML/AI and how his team:
- Builds ML pipelines
- Leverages a feature store for ML feature sharing and reuse
- Automates the entire data science process to take repetitive manual work out of the equation).
Enterprise Architect, Home Credit International
Co-Founder and CTO, Iguazio