Welcome to episode 165 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 the United States and Europe.

Today’s guest is Jacob Shiff, Co-Founder & COO and Leonard Apeltsin, Head of Data Science at Anomaly. Founded in 2020, Anomaly is tackling the challenge of fraud, waste and abuse (FWA) in healthcare, a problem costing over $300 billion per year in the US. They are building software that uses analytics, ML and proprietary data to catch and prevent improper healthcare payments for payers and employers. Anomaly brings together top engineers and data scientists, deep payment integrity domain experts, and experienced payer and benefits leaders. 

In the episode, Jacob and Leonard will tell you about:   

What inspired them to set up Anomaly 

The impact they are making within Healthcare Finances 

Applying AI & Data Science to help solve these problems 

Key steps on bringing predictive models into production 

Challenges they need to overcome working with data 

Skills they look for when hiring Data Scientists 

What excites them for the future of Anomaly 

To find out more about Jacob, Leonard and their work at Anomaly, check out the website www.findanomaly.com or follow them on Twitter @findanomaly. You can also connect with both Jacob and Leonard on Linkedin. 

What did you think of Jacob and Leonard’s podcast? Where do you see the future of AI and Data Science heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

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