How Anton R Gordon Uses Feature Store Best Practices to Accelerate AI Development
In today’s rapidly evolving machine learning landscape, managing features effectively is no longer a luxury — it’s a necessity. Anton R Gordon, a recognized thought leader in cloud-native AI development, has long championed the importance of operationalizing machine learning workflows through best-in-class infrastructure practices. One of the cornerstones of his approach is leveraging Feature Stores to streamline feature management, improve collaboration, and accelerate time-to-value in AI initiatives. In this article, we explore how Anton R Gordon applies Feature Store best practices to modernize and scale AI development, especially in cloud environments like AWS. Why Feature Stores Matter In many organizations, data scientists spend up to 60–70% of their time wrangling data, often reprocessing the same features across multiple projects. This not only wastes time but also introduces inconsistencies across training and inference environments. Feature Stores solve this by providin...