Welcome to episode 350 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 Max Henderson, Chief Data Officer at Datastream Cyber Insurance. DataStream Insurance is a specialist cyber insurance broker that focuses on helping small and medium sized businesses get the best cyber insurance coverage. They work in partnership with your existing technology and cybersecurity teams to build a comprehensive cyber risk program that combines technology and insurance to keep you safe from the damage caused by cyber attacks.

As the Chief Data Officer, Max helps facilitate projects involving machine learning, data science and mathematical modeling. Max has provided technical solutions in cyber, quantum computing, bioinformatics and natural language processing domains, including holding Data Scientist positions at Rigetti Computing, QxBranch, JPMorgan Chase & Co. and Lockheed Martin. Max also has a PhD and MS from Drexel University in Physics as well as a BS in Physics from West Chester University. 

In the episode, Max discusses:  

His background and journey to Datastream

An insight into the Cyber Insurance market

Problems they are solving for customers in the sector

Interesting projects the data team are working on

Why Datastream is a great place to work

To find out more about Max and all the great work happening at Datastream Cyber Insurance, check out the website www.datastreaminsurance.com and follow them on Linkedin and Twitter @DataStream_Ins. You can also connect with Max directly on Linkedin.

What did you think of Max’s podcast? Where do you see the future of AI and Data Science 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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