AI in Action E353: Oscar Beijbom, Co-Founder at Nyckel


Welcome to episode 353 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 Oscar Beijbom, Co-Founder at Nyckel in San Francisco. Founded in 2021, Nyckel is democratizing access to machine learning for companies of all sizes. Instead of needing teams of ML specialists and years of expertise, Nyckel allows developers to add state-of-the-art machine learning to their applications in minutes. 

Nyckel's API-first design enables a fast and secure fully automated integration of ML into your application. You can also scale to millions of invokes on day one with an instant model deploy to elastic inference infra with 99.99% uptime and 300ms latency. They also offer highly parallelized AutoML trains and evaluates top deep learning methods on your data in seconds.

In the episode, Oscar will talk about: 

The motivation for setting up Nyckel

Use cases of the benefits they can bring to customers

An insight into their data & engineering team

What’s in store for the near future at Nyckel

Why Nyckel is a great place to work

To find out more about Oscar and all the great work happening at Nyckel, check out the website or follow them on LinkedIn and Twitter @nyckelai. You can also connect with Oscar directly on LinkedIn.

What did you think of Oscar'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.

If you’re interested in exploring our latest Data Science & ML jobs, check out our live vacancies or upload your CV today to keep up to date with all the latest opportunities.

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