18
Apr
MLtwist welcomes Audrey Smith as Chief Operating Officer. Audrey has led Machine Learning (ML) labeling operations at AI leaders such as Amazon and brings unparalleled experience to MLtwist.
“ML labeling operations is less than a decade old. Finding someone with Audrey’s skillset and experience is next to impossible,” said David Smith, CEO of MLtwist. “Audrey has done labeling operations for hundreds of companies and is a recognized industry leader. We are incredibly lucky to have her leadership and insight.”
In her previous roles, Audrey deployed hundreds of labeling solutions across text, image, audio, and video to deliver millions of files across industries from agtech, adtech, and robotics to fintech and much more. She worked with colleagues to win a hackathon at Amazon, built and led global teams, and still makes time to mentor within the labeling operations industry.
“Audrey has done labeling operations for hundreds of companies and is a recognized industry leader. We are incredibly lucky to have her leadership and insight.”
David Smith, CEO – MLtwist
“After spending over 7 years in labeling operations, I have seen needs shift from simple annotations to highly complex projects that require data labeling platforms to build specific features to accommodate their customers’ needs,” said Audrey Smith.
“While there are fantastic data labeling platforms out there, a single one will not fit all customer needs. The need for a platform that allows companies to switch tools depending on their use cases will increase in the coming years as machine learning is integrated into more and more industries. MLtwist will not only lower labeling costs and speed up annotation delivery – it will also dramatically increase model performance by getting higher quality data, and all of that by seamlessly leveraging the existing ecosystem.”
Audrey will be responsible for ensuring customers get the highest quality labels at the most efficient speeds and costs. Her expertise combined with MLtwist’s Data as a Service platform will ensure continued focus on delivering the tools that allow customers to achieve massive gains in model speed and efficiency.