Deploying Efficient Data-Centric AI 100x Faster

Discover strategies for accelerating AI model development and deployment in this 34-minute conference talk from MLOps World: Machine Learning in Production. Learn how to overcome resource constraints and optimize data quality for improved model performance. Explore techniques like zero-shot learning, quick training with limited samples, and AI-automated labeling to speed up the development process by up to 100 times. Gain insights into establishing baseline performance metrics and iterating on designs efficiently. Compare two approaches for training detection models: Region Classification Workflows and Deep-Trained Object Detectors. Understand how leveraging a unified AI platform for data labeling and pre-built models can significantly reduce time-to-value and allow teams to focus on high-impact initiatives.

Deploying Efficient Data centric AI 100x Faster