As part of our regular speaker series, the Northwestern Mutual Data Science Institute (NMDSI) will host “Generative AI is Everything, Everywhere, All at Once” on Thursday, July 20, from 11 a.m. to noon CT.

Hear from two experts at one of the leading data and AI companies, Databricks. Marcela Granados, global insurance leader, and Harsh Narula, solution architect, will explore how insurance companies should harness the power of large language models and generative AI.

During their session, Marcela and Harsh will cover:

Security and data governance considerations surrounding AI capabilities
Example uses of large language models (LLMs) in insurance
Risks of using LLMs and how to mitigate them
How to choose which technologies to use (e.g., ChatGPT, open-source models)
How companies using LLMs and generative AI think about the next evolution of scaling
Talent considerations for companies building out LLMs
What kind of organizational design companies need to build out LLMs

Speaker Bios:

Marcela Granados

Marcela is based in New York City and has more than 17 years of experience in the insurance industry. She’s held roles in property, casualty, and life insurance and worked in all areas across the insurance value chain (claims, underwriting, pricing, marketing, and actuarial science). Prior to joining Databricks, Marcela led the insurance analytics practice at Ernst & Young, one of the largest professional services networks in the world, where she led teams of data scientists and actuaries to implement complex analytics solutions for the largest insurance companies in the U.S. She has done business in Japan, Korea, the United States, Canada, Mexico, Argentina, Colombia, and Brazil. Marcela has authored more than 20 publications on analytics and AI.

Harsh Narula

Harsh is a solution engineering leader with 15 years of experience in various industries. His focus areas are cloud strategy, data strategy, and big data analytics. Harsh has deep expertise in leading customer engagements related to solution design and implementation of cloud migration, big data, and advanced analytics projects, including machine learning, azure data platform, performance tuning and optimization, designing high availability disaster recovery solutions, and complex troubleshooting.

About Databricks

Databricks is a prominent data and AI company that provides an innovative cloud-based platform for data engineering, data science, and machine learning. The platform integrates various tools and technologies to facilitate efficient data processing, analysis, and collaboration within organizations.

Please note that this is a virtual event. 

Generative AI is Everything, Everywhere, All at Once

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