Discover the latest technologies, best practices, use cases for putting ML models into production environments.
A data warehouse for machine learning and a pivotal technology for managing the entire lifecycle of features, from training different models to providing low-latency access to features.
A forum for the international community of users and developers of Feature Store platforms for machine learning and tools to share ideas and learn from each other.
We promote discussion of best practices, new approaches, and emerging technologies for feature engineering, feature management, and feature usage for model training and model serving.
Jim Dowling will talk about the featurestore.org community and kickstart the event.
The team at Spotify talk about the challenges by when building a central feature infrastructure at a highly autonomous organization.
Learn from the leading innovators in cutting-edge technologies and trends for designing and managing the ML production process.
Stay up to date on the latest platforms and tools and emerging capabilities to improve the computation of features and management of data for AI.
Meet hiring companies, ranging from hot startups to consolidated enterprises, looking for professionals with data science skills at all levels.
Receive every month hand-picked blogs, videos, and everything that is happening in the ML space to continue learning about feature stores after the summit.