The Fallacy of "Ground Truth" with Shayan Mohanty - #576
1Description
Today we continue our Data-centric AI series joined by Shayan Mohanty, CEO at Watchful. In our conversation with Shayan, we focus on the data labeling aspect of the machine learning process, and ways that a data-centric approach could add value and reduce cost by multiple orders of magnitude. Shayan helps us define “data-centric”, while discussing the main challenges that organizations face when dealing with labeling, how these problems are currently being solved, and how techniques like active learning and weak supervision could be used to more effectively label. We also explore the idea of machine teaching, which focuses on using techniques that make the model training process more efficient, and what organizations need to be successful when trying to make the aforementioned mindset shift to DCAI.
The complete show notes for this episode can be found at twimlai.com/go/576
United States
10/10 podcast about an interesting topic. Today AI is everywhere and without proper data processing, it just can't function right. Additional to info here, check https://www.businessmodulehub.com/blog/advantages-of-data/. Some information overlaps with the podcast, but still, many new tips on annotation automation and quality control. Strongly recommend it to anyone interested in machine learning.