Following the launch of GLASS PRISM, Ortec Finance attracted significant media attention, with industry publications exploring how the solution is transforming portfolio optimization for institutional investors.
The articles below highlight the growing role of machine learning in investment decision-making and the opportunities it presents for insurers and other institutional investors.
Click the links below to read the full articles.
Ticker News
Title: Machine learning transforms asset allocation for investors
Summary: This article explores how machine learning is reshaping strategic asset allocation by moving beyond traditional portfolio optimization approaches. It examines how data-driven optimization enables investors to make faster, more informed decisions while adapting to increasingly complex market conditions. The article also highlights how GLASS PRISM uses scenario-based machine learning to optimize portfolios across multiple objectives, representing a new approach to portfolio design and evaluation.
Insurance Thought Leadership
Title: Machine Learning Transforms Insurers' Portfolio Optimization
Summary: This article discusses the growing challenges insurers face in managing investment portfolios amid economic uncertainty, regulatory change and evolving risk requirements. It explains how scenario-based machine learning enables insurers to optimize across multiple objectives simultaneously, offering a more flexible and realistic alternative to traditional optimization techniques. The article also considers why AI-driven portfolio optimization is becoming an increasingly important capability for insurers looking to remain resilient in a changing investment landscape.
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To learn more about GLASS PRISM and how it can help optimize your insurance portfolios, please contact us.
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