Sotiris Bersimis

Scientific Advisor in AI and Innovation @ COVARIANCE - Professor of Analytics and Industrial Statistics @ University of Piraeus

Sotiris Bersimis is a Scientific Advisor at Covariance and a Professor at the University of Piraeus, recognized for his leadership in data-driven innovation across the insurance and healthcare sectors. With a strong academic foundation in statistics and advanced analytics, he has built a career at the intersection of scientific rigor and high-impact business transformation. At Covariance, Sotiris Bersimis shapes the company’s scientific vision and innovation strategy, guiding the development of AI-powered products, next-generation predictive health and insurance intelligence solutions. His work focuses on leveraging AI, digital twins, real-time analytics and agentic AI to transform operational performance, improve risk management, and unlock new growth models for insurers, healthcare organizations, and governments. Throughout his academic and professional path, he has held leadership positions that bridge research excellence with practical implementation. He has contributed extensively to the advancement of statistical modelling, health analytics, and decision-support systems, while mentoring the next generation of data-driven leaders at the University of Piraeus. Sotiris Bersimis is widely regarded as a thought leader who combines technical depth with strategic foresight, helping organizations navigate uncertainty, redesign processes, and adopt AI responsibly. His work continues to influence the evolution of intelligent systems that enhance efficiency, transparency, and societal value.

Bio

From Experiments to Autonomous Enterprises: Agentic AI Shapes the Next Insurance Revolution (Insurance is entering a new era—one where organizations move beyond isolated AI experiments and embrace autonomous, agent-driven operating models. This talk explores how Agentic AI is redefining underwriting, claims, fraud detection, actuarial workflows, risk management, and customer experience. Drawing on real-world use cases and the emerging architecture of AI-native enterprises, we will highlight how Agentic AI creates end-to-end intelligent workflows, improves accuracy, enhances regulatory compliance, and empowers human experts with next-generation analytical capabilities. In this fast-evolving landscape, the insurers who embrace autonomous AI first will define the competitive frontier for the decade ahead.)

Presentation at GenAI Summit 4: