Welcome to episode 430 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 Nan Li, VP, AI/ML and Statistical Practice at Nationwide in Columbus, Ohio. Nationwide is one of the largest and strongest diversified insurance and financial services organizations in the United States. Nationwide provides a full range of insurance and financial services products including auto, business, homeowners, farm and life insurance; public and private sector retirement plans, annuities and mutual funds; excess & surplus, specialty and surety; pet, motorcycle and boat insurance.

Nan is a passionate, versatile, and human-centric data and analytics executive with 20 years of experience in the insurance, financial services, and healthcare industries. A creative and pragmatic business problem solver, innovator and communicator, Nan is skilled at setting up data & analytics strategy and roadmap, bringing business, analytics, and IT together to achieve business outcomes, and operationalizing data & analytics solutions to deliver scalability and ROI.

In the episode, Nan will discuss:

Her role and responsibilities at Nationwide

Benefits that they bring to customers

How AI & Data Science has evolved at Nationwide

Why Nationwide is a great place to work

What they look for when hiring into the team

What the roadmap looks like for Nationwide

To find out more about all the great work happening at Nationwide, check out the website www.nationwide.com or follow them on LinkedIn, Instagram and Twitter @Nationwide. You can also connect with Nan directly on LinkedIn.

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

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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