Data Centricity Explained: How to Keep Data at the Core of Your MLOps
Tanu Chellam
SVP Product
What we cover:
Explore how data-centric approach enhances collaboration, visibility, and efficiency in managing complex ML systems, including key aspects such as real-time processing, data lineage tracking, and modularity are highlighted as essential for effective model deployment.
The discussion also covers the evolution of Seldon Core from a model-centric to a data-centric framework, showcasing its capabilities in handling production-ready models at scale.
Core 2 Product Overview
Download for a comprehensive overview of Core 2’s capabilities, key features, architecture, and real-world impact.
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