Welcome to episode 372 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 Theo Petropoulos, Director of Data Science at Abacus.AI. Founded in 2019 with headquarters in San Francisco, Abacus.AI is the world’s first cloud AI platform that handles all aspects of machine and deep learning at enterprise scale. For repeatable use-cases such as churn prediction, time-series forecasting and deep-learning based personalization, they offer an extremely customizable end to end autonomous AI service where their expert AI agents wrangle data, train machine and deep learning models, and monitor them in production.

In addition to all available open source algorithms, Abacus.AI has developed techniques to train custom neural networks that outperform classical models and are easily automated. For custom, highly specific models, Abacus.AI offers a state-of-the-art toolset that allows ML practitioners and data science teams to wrangle data, build real-time machine and deep learning features, upload ipython notebooks, monitor model drift and set up CI/CD for machine learning systems. Their MLOps infrastructure helps you go to market, 10x faster than any other industry leading platform.

In the episode, Theo will discuss:

The interesting work he does with Abacus.AI

Use cases of the problems they solve for customers

Enabling the citizen data scientist

Day-to-day projects the data science team work on

Benefits that Abacus are brining to customers

What the future holds for Abacus.AI

To find out more about all the great work happening at Abacus.AI, check out the website www.abacus.ai or follow them on LinkedIn and Twitter @abacusai.  You can also connect with Theo directly on LinkedIn.

What did you think of Theo’s podcast? Where do you see the future of AI and Machine Learning 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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