TRACK

Data Access, Data Management & Operations

Data engineers supporting AI training and application workloads both in local datacenters and in the cloud share their experience and best practices on topics including streaming data, managing and applying vector and similar databases, cleaning and preparing data for ingestion, maintaining and optimizing workflows using MLOps / AIOps best practices, and more.