New York Life Innovation & Technology Culture

New York Life Insurance marked World AI Day on July 16, 2025, by hosting its first “AI in Action Day,” highlighting the company’s focus on advancing artificial intelligence capabilities across the organization. The event served as the culmination of “Ignite AI,” a three-month initiative designed to build an AI mindset company-wide, equip employees with practical AI tools, and strengthen the skills needed to drive future innovation and impact.

“The world around us is changing so rapidly. This is our moment to show the world — lead through example — how we’re able to innovate, how we’re able to drive impact.”

On the future use of agentic AI:

“This requires closer collaboration between data science and engineering, and dedicated capabilities focused specifically on industrializing AI efforts across the enterprise. For technologists interested in building next-generation AI capabilities, this is a defining opportunity.”

Can you share an example of how you’re using AI in your day-to-day work and what problem it helps you solve?

Data scientists work on cleaning the data and you build AI models for predicting and monitoring. Every time we start building our models, we will spend a significant amount of time just cleaning and validating the data to make sure we have reliable results. Our business partners reach out to us to build AI solutions for the recruiters, because they want to increase agents recruiting retention.

I use ChatGPT for technical research, like how to design the model and then I build a structured model pipeline that I can use to build spot based stands for strategic pipeline in outcome tool. The tool is helping recruiters to get a sense on what kind of action to prioritize during their recruitment process. We want to increase the candidate engagement and increase the full time agent conversion rate.

How has your company supported you in experimenting with AI or building new AI-powered solutions?

We have model governance teams that are continuously monitoring the model’s performance. They make sure the result is valid and accurate. Having really positive feedback from the recruiter, they think that’s really helpful. 

So before training, I assumed New York Life is very traditional because of its long history, but I was very surprised by how the company is dedicating and investing in AI. It’s helped me a lot.

I would recommend working at New York Life Insurance Company because as a data scientist, I can grow and learn along with AI.