Democratizing AI in Enterprise

High-quality data annotation is essential for creating accurate ground truth for training any AI/ML model successfully. What are those factors that influence the accuracy, quality, time, and efficiency of these annotations? What role does active learning techniques play in this mechanism? How to integrate human intelligence with state-of-the-art models to drive a scalable model development? Join us to explore some or more of such questions in this session.

Key takeaways from session will be?

• Discover how data annotation is key to ML project success.
• Learn about ML Assisted annotation and advanced analytics to improve efficiency, speed, and accuracy.
• Learn how to leverage active learning techniques.