AI in Action E226: Pranav Gandhi, Head of Business & Strategy Analytics at Signifyd

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Welcome to episode 226 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 Pranav Gandhi, Head of Business & Strategy Analytics at Signifyd. Founded in 2011 and headquartered in California's San Jose, Signifyd is the world’s largest provider of guaranteed fraud protection that enables online retailers to provide a friction-free buying experience for their customers.

Signifyd leverages big data, machine learning and domain expertise to provide a 100 percent financial guarantee against fraud on approved orders that later turn out to be fraudulent. This effectively shifts the liability for fraud away from retailers, allowing them to increase sales and open new markets while reducing risk. 

In today's episode, Pranav tells us about:

Signifyd’s work in identifying fraud in the eCommerce sector

How they are applying data science to solve these problems in eCommerce

What attracted him to work for Signifyd

How the pandemic has helped transform the customer experience

Exciting opportunities and plans for growth at Signifyd

What excites him for the future

To find out more about Pranav and all the great work happening at Signifyd, check out the website www.signifyd.com or follow them on Twitter @signifyd. You can also connect with Pranav on Linkedin.

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

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

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