Data Annotation for AI with Jeff Mills of iMerit

The Scale Up Show

In this episode, Ryan is joined by Jeff Mills, a veteran in the AI and machine learning space. With over 25 years of experience, Jeff shares invaluable insights on scaling businesses, particularly in the AI industry. From his early days at Yahoo to his current role as President at iMerit, Jeff offers a unique perspective on growing companies while maintaining a social impact focus.

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KEY TAKEAWAYS

• iMerit works with leading AI companies in mobility, tech, and medical verticals, providing data solutions and annotation services for AI model development.
• Jeff talks about the importance of high-quality data in AI development, comparing it to a chef selecting the best ingredients for a Michelin-star restaurant.
• iMerit has evolved to include automation and a platform for data labelling, while still maintaining human-in-the-loop processes for validation and verification.
• The company employs a workforce pyramid, ranging from general workers to highly specialized experts in various fields, to meet diverse AI development needs.
• Retrieval Augmentation Generation (RAG) models are expected to be a significant trend in AI development over the next year and a half.
• iMerit adapts to customer needs, focusing on problem-solving and developing expertise in specific domains as required by clients.
• Jeff stresses the importance of domain expertise in prompt engineering and evaluating AI model outputs.

BEST MOMENTS

"You are literally a prompt engineer. You have created the box."

"We like to write, but we also are good readers. We want to lead by example, but we also are good at reading, hearing what someone's challenges are, what their problems are. And ultimately we're in the problem solving business.”

"We’ve built a workforce pyramid, so there's certain work that can be done if you have kind of expertise at a wide level."

"I've been in AI for about, you know, 25 years in different ways."

Ryan Staley

Founder and CEO

Whale Boss

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www.ryanstaley.io

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