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 such as zero-shot learning, quick training with limited data samples, and AI-automated pipelines to speed up model development by 100x. 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 to leverage pre-built AI models and integrated data labeling to streamline the process of building AI-powered applications and accelerate time-to-value.

Deploying Efficient Data centric AI 100x Faster