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, and

What the future holds for Abacus.ai