Best Practices: Driving Quality in Your AI Training Data

Learn how you can use best practices to ensure your data is annotated for optimal model performance. Date: On-Demand Time: 30 mins Speakers: Chris Lewis, Director of Quality and Innovation, Appen; Kirsten Gokay, Product Manager, Appen; Michael Lucero, Product Manager, Appen What do biased chatbots, a failed facial recognition system and self-driving car accidents have in common? They were all trained using poor quality AI training data. This webinar will discuss the different components of quality and how you can use best practices to ensure your data is annotated for optimal model performance. Listen to our panel of experts as they provide relevant information and real-world advice on data quality, which you can take away and apply to your business. Topics covered:

Definition of quality for annotated data
Job design and active monitoring techniques
Ground truth and auditing to ensure quality
Contributor targeting and custom channels
Continuous improvement via machine learning

Are you currently using artificial intelligence to make smarter decisions, build innovative solutions, and deliver better customer experiences? Contact us to learn how Appen can help, or learn more about how we can help you get reliable training data for machine learning.

Driving Quality in Your AI Training Data

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