ARK FYI podcast gives a good explanation of why Appen's TAM is reducing due to the maturing of AI models and the automation of labelling.

Held in SM and RL should have believed the opinions of others rather than the company announcements. Tried to catch the falling knife and got badly cut! Painful lesson.

Conversation with Manu Sharma, founder and CEO of Labelbox

Key Points From This Episode:

How Labelbox tries to improve mission-critical AI systems across industries by building software products.

Manu’s experience working in satellite imaging at Planet Labs before starting Labelbox.

What it was like to see AI applications powering real-world solutions for the first time.

Why the Manu believes the AI paradigm is really all about data.

How the need to create a product suite to orchestrate AI activities motivated Manu to create Labelbox.

The rapid AI driven transformations that enterprises using Labelbox experience today.

How enterprises navigated solutions for data engines before Labelbox.

How Tesla has built a data engine to create a closed loop system.

What AI labeling actually is.

The impact of unsupervised learning on the need for labeling.

Three layers of AI capabilities.

Why AI is accessible to everyone today.

How AI powers John Deere’s tractors through See & Spray technology.

The biggest challenge that AI adopters are facing today.

Manu’s prediction for the rate of progress in AI technology.