New York Life | May 25, 2022
Just over five years ago, New York Life set out to build upon the ways we use analytics to support consumers and the company’s policy owners, agents, and employees. This led to the creation of a centralized data science organization, New York Life’s Center for Data Science and Artificial Intelligence (CDSAi), that infuses analytics and machine learning technologies across the company.
While the team’s work was impactful from the start, the deployment of newly-built machine learning models was challenging in the early days and an effort was launched to streamline the process. As Glenn Hofmann, New York Life’s chief analytics officer, explains in Datanami’s “MLOps Pays Dividends for New York Life,” the company addressed this by onboarding a machine learning operations (MLOps) platform from Domino Data Lab to bring more efficiency to data science operations.
We have the tools that data scientists expect to use. We have a lot of interesting data to explore and new data coming in all the time. The business opportunities are both challenging and exciting”
—Glenn Hofmann, New York Life’s chief analytics officer.
The greater efficiency brought by the platform enables New York Life to scale up the company’s deployment of models. New York Life now deploys about a dozen models per year and that number promises to grow in the future.
“We have the tools that data scientists expect to use. We have a lot of interesting data to explore and new data coming in all the time. The business opportunities are both challenging and exciting,” Hofmann shares. “For data scientists, seeing their work being deployed and creating benefits is rewarding and New York Life’s commitment to these efforts is energizing.”
New York Life’s CDSAi team consists of data scientists, MLOps engineers, program and change managers, and model governance and training and development teams. The group is supported by a technical team that maintains infrastructure on premises and in the cloud.
Hofmann adds, “The facts that we have modern infrastructure, that all of the work gets deployed into the business, and that we have good training programs all resonate with data scientists who are looking for compelling career opportunities.”
Learn more about New York Life’s Center for Data Science and Artificial Intelligence and opportunities with the team here.
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