• Start Time:
    12:00PM
  • End Time:
    12:20PM
  • Day:
    Day 1

Talk:

  • AI is supposed to transform your business but enterprises are finding that it is taking much longer than anticipated to get to full impact. Creating high-quality training data with consistency and transparency are at the heart of the problem. 
  • To accelerate development, learn what workflows and strategies leading AI teams use to prioritize the right data at the right stage of their project’s life cycle in order to iterate on these models quickly. 
  • This approach has been reinforced by new tools such as model assisted labeling and model diagnostics and can lead to more accurate models, faster implementation and 70% cost savings.
  • Based on PG’s current applied AI customer use case, we will cover how a training data platform can be used to enhance your overall labeling operations.

Associated Speakers:

Kelly Anderson

Director, Corporate R&D Data Science & Artificial Intelligence

Procter & Gamble

Associated Talks:

12:00PM - Day 1

View How leading AI teams get full visibility and control over their training data

View Full Info

Brian Rieger

COO & Co-Founder

Labelbox

Associated Talks:

12:00PM - Day 1

View How leading AI teams get full visibility and control over their training data

View Full Info