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How Important is Human Input for AI Development?

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Manage episode 388961423 series 3451071
Content provided by Marc Verbenkov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marc Verbenkov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

As AI continues to advance, a critical but often overlooked aspect comes into play – AI labeling, or human input, which remains a vital cog in the machine of AI development.

About the Episode: AI labeling isn't just a technical process; it's a burgeoning industry worth well over $5 billion, with only a fifth of its potential market currently tapped. This leaves an expansive room for growth, innovation, and opportunities. It's a field that's not just fueling the AI revolution but is also a significant contributor to job creation in the tech world itself.

In today's episode, I'm excited to have Ahmed Rashad, the CEO of Sapien.io, join us to explore this dynamic realm. We'll delve into how AI is fundamentally altering our world, the critical role of data labeling in AI development, and the challenges and evolution of this essential process. Ahmed will also shed light on the cutting-edge work happening at Sapien.io and share his vision for the future of data labeling, the future of jobs, and AI in general.

About the Guest:

Ahmed Rashad, a leader in the tech industry, currently leads as the CEO of Sapien. He has an impressive academic background with a degree in Engineering from MIT. Ahmed Rashad's expertise in product management and business growth was honed through key roles at Amazon as Head as a General Manager, and at McKinsey in RTS and M&A. His notable tenure at Scale AI as Head of Growth saw him building and managing data labeling operations, hiring over a million human labelers.
Website: https://www.sapien.io/
Linkedin: https://www.linkedin.com/in/ahmed-r-23a92014/

  continue reading

149 episodes

Artwork
iconShare
 
Manage episode 388961423 series 3451071
Content provided by Marc Verbenkov. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marc Verbenkov or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

As AI continues to advance, a critical but often overlooked aspect comes into play – AI labeling, or human input, which remains a vital cog in the machine of AI development.

About the Episode: AI labeling isn't just a technical process; it's a burgeoning industry worth well over $5 billion, with only a fifth of its potential market currently tapped. This leaves an expansive room for growth, innovation, and opportunities. It's a field that's not just fueling the AI revolution but is also a significant contributor to job creation in the tech world itself.

In today's episode, I'm excited to have Ahmed Rashad, the CEO of Sapien.io, join us to explore this dynamic realm. We'll delve into how AI is fundamentally altering our world, the critical role of data labeling in AI development, and the challenges and evolution of this essential process. Ahmed will also shed light on the cutting-edge work happening at Sapien.io and share his vision for the future of data labeling, the future of jobs, and AI in general.

About the Guest:

Ahmed Rashad, a leader in the tech industry, currently leads as the CEO of Sapien. He has an impressive academic background with a degree in Engineering from MIT. Ahmed Rashad's expertise in product management and business growth was honed through key roles at Amazon as Head as a General Manager, and at McKinsey in RTS and M&A. His notable tenure at Scale AI as Head of Growth saw him building and managing data labeling operations, hiring over a million human labelers.
Website: https://www.sapien.io/
Linkedin: https://www.linkedin.com/in/ahmed-r-23a92014/

  continue reading

149 episodes

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