AI in Action E338: Erik Duhaime, Co-Founder and CEO at Centaur Labs
Welcome to episode 338 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in North America and Europe.
Today’s guest is Erik Duhaime, Co-Founder and CEO at Centaur Labs in Boston, MA. Founded in 2017, Centaur Labs offers medical data labeling (classification, segmentation etc.) from a network of medical experts. Instead of having to choose between the high cost of hiring physicians or the low quality of crowdsourced/blended teams, they offer an alternative that leverages collective intelligence and performance based incentives.
Centaur Labs’ technology – developed by researchers at MIT – collects multiple opinions per case with labelers competing against each other for cash rewards. This process ensures that quality assurance is baked into the process since the labelers are incentivized to perform at the highest level on every case analyzed. Centaur Labs offers industry leading accuracy, affordable pricing and very low management overhead on the part of the client since all engagements include a dedicated customer success manager.
In the episode, Erik will discuss:
Their mission to annotate the world’s medical data
Early challenges and the journey of building the company
Use cases of the benefits they bring to customers
Combining AI with the user experience
An insight into the team and working culture
What the future holds for Centaur Labs
To find out more about Erik and all the great work happening at Centaur Labs, check out the website www.centaurlabs.com and follow them on Linkedin, Instagram and Twitter @CentaurLabs. You can also connect with Erik directly on Linkedin.
What did you think of Erik’s podcast? Where do you see the future of AI and Data Science heading in the industry over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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