The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

The Fallacy of "Ground Truth" with Shayan Mohanty - #576

May 30, 2022

Shayan Mohanty, CEO of Watchful and former Facebook systems architect, dives into the world of data-centric AI. He discusses the complexities of data labeling and the benefits of techniques like active learning and weak supervision to enhance efficiency. Shayan also explores the challenges organizations face with hand-labeled data and the biases that arise, emphasizing the need for a more integrated approach in machine learning operations. He shines a light on the critical mindset shift required to embrace this innovative strategy for better outcomes.

51:10

Creator website

Episode guests

Shayan Mohanty

Highlights

AI Chapters

Episode notes

Weak Supervision vs active learning

01:13

Is There a Substitute For These Advanced Labelling Strategies?

03:30

Do You Want Big Data Or Small Data?

02:47

Is Machine Teaching More Like Data Centri Ai?

03:15

Intro

2min

Data Labeling Strategies: In-House vs. Crowd-Sourcing

5min

Data-Centric AI: Balancing Datasets and Techniques

28min

Unpacking Model Architecture and Bias

7min

The Complexities of Hand-Labeled Data

5min

Integrating Data-Centric AI with MLOps Framework

2min

Exploring Commonality in Machine Learning Across Media Types

2min

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

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