GenAI is a technology that uses machine learning models to generate new data that shares the same characteristics as the training set. This technology has the potential to revolutionize the way insurers operate, offering unprecedented opportunities for automation, personalization, and risk assessment. GenAI can generate new content, outputting text strings or images based on the modelโs training.
In this report, the third in a series about GenAI in insurance, Datos Insights asked its team of experts and former insurer CIOs what the top five GenAI-related questions that claims executives are asking about GenAI today.
Clients of Datos Insightsโ Life, Annuities, & Benefits or Property & Casualty service can download this report.
About the Author
Deb Zawisza
Deb Zawisza is a Senior Principal at Datos Insights. She has expertise in insurance technology leadership and transformation with over 30 years of experience. Prior to joining the firm, Deb was SVP/CIO for Claims/Loss Control at Travelers Insurance, leading core system modernization, expansion of data and analytic capabilities, Agile transformation, and digital initiatives related to property/casualty claims across all lines...
Other Authors
Caitlin Simmons
Caitlin Simmons is a Seniorย Associate atย Datos Insights. She works with senior team members to support consulting projects and create research reports.ย Prior to joining the firm, Caitlin worked in program evaluation and academic research. She has a Ph.D. in Health Psychology with a concentration in Community Psychology from the University of North Carolina at Charlotte.ย