Welcome to episode 471 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 David Sutton, Director of Innovation at Featurespace. Founded in 2008, Featurespace is dedicated to making the world a safer place for their clients and their customers. With the support of their customers, Featurespace have developed market-leading solutions to fight enterprise fraud and financial crime using real-time Machine Learning. They invented Adaptive Behavioral Analytics, Automated Deep Behavioral Networks and ARIC™ Risk Hub, the most powerful and open technology to combat fraud and financial crime.

Featurespace’s technology and results are recognized as the best worldwide for fighting enterprise fraud and financial crime. Their achievements are due to their collaborative approach and ability to attract and retain the best customers, talent and investors.  It’s a rare achievement to bring a new technology to market, to achieve financial success and most importantly of all, to make customers proud to be using technology developed to outsmart the perpetrators of real-time enterprise fraud and financial crime.

In the episode, David will discuss:

Featurespace’s work in combating financial crime

How his role has evolved over the past eight years

An insight into their work in deep behavioral networks

Their focus in working on privacy enhancing technologies

Upcoming projects in Generative AI and data portability

What makes Featurespace a great place to work

To find out more about all the great work happening at Featurespace, check out the website www.featurespace.com and follow them on LinkedIn or X @FeaturespaceLtd. You can also connect with David directly on LinkedIn.

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

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