YOU’RE READY TO START USING AI OR MACHINE LEARNING. BUT HOW DO YOU GET THE DATA YOU’LL NEED AS THE BACKBONE OF YOUR AI/ML ALGORITHM?
Once you’ve made the decision to leverage AI and/or machine learning, now you need to figure out how you will source the training data that is necessary for a fully functioning algorithm. Depending on your use case, you might need a significant amount of training data, and you’ll want to consider how that is labeled and annotated too.
Join our webinar on August 6 at 1 p.m. ET with Cognilytica principal analysts Ronald Schmelzer and Kathleen Walch, alongside Kristin Simonini, Applause’s Vice President of Product, as they tackle the modern challenges that today’s companies face with sourcing training data.
REGISTER FOR THIS WEBINAR TO LEARN MORE ABOUT:
- Challenges with sourcing training data
- The 7 patterns of AI and their needs for training data
- Data labeling and annotation challenges
- Synthetic data