Welcome to episode 406 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 Audrey Smith, Chief Operating Officer at MLtwist in Santa Clara, CA. Founded in 2021, MLtwist enables you to seamlessly connect with their partner’s labeling and workforce while making sure that your data is safe and securely formatted and classified. Their integrations will push your data assets to the best platform for your specific use cases and send it back in the format that your Machine Learning team requires.

Scientists and engineers leverage MLtwist’s deep Labeling Operations expertise, live Data Labeling Platform marketplace, real-time dashboards and robust integrations with 75+ integrated data labeling platforms. Their services take care of the time consuming complexities that go into data labeling operations – including designing workflow, testing the right data labeling platforms, writing guidelines & training workforces – all the way to quality control.

In the episode, Audrey will discuss:

MLtwist’s work within data preparation & labelling

Benefits their DaaS and SaaS offerings bring to customers

The team structure and unique role in Project Management

Why to consider a career with MLtwist

What the near future looks like for MLtwist

Transitioning from a non-technical background into the data world

To find out more about all the great work happening at MLtwist, check out the website www.mltwist.com or follow them on LinkedIn. You can also connect with Audrey directly on LinkedIn.

What did you think of Audrey’s podcast? Where do you see the future of AI and Data Science in the industry heading 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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