Large language models (LLMs) are rapidly transforming how businesses across industries interact with data and leverage AI. For banks, brokerages, insurers and other wealth managers, LLMs present a powerful opportunity to automate and enhance key operations like sales and relationship manager support, back-office technology development, client service, and risk analysis. In all cases, the decision-making process should involve thorough evaluations of each institution’s unique requirements, prioritizing factors such as performance, accuracy, data privacy, responsible AI practices, and integration readiness.
This report provides an overview of the current vendor marketplace for LLM solutions. It is designed to assist wealth managers with creating short lists of potential providers based on solution details. The vendor profiles drawn on publicly available information and responses to survey questions when possible.
Clients of Datos Insights’ Wealth Management service can download this report.
This report mentions AI21, Anthropic, AWS, BLOOM, Cohere, Google, H2O.ai, Hugging Face, IBM, Meta, Microsoft, Mistral AI, and OpenAI.
About the Author
William Trout
William Trout serves as Director of the Securities and Investments practice at Datos Insights, focusing on technology strategy and innovation in the capital markets. He has particular expertise in platform automation; data capture, storage and analytics; and portfolio management and optimization. Within the wealth and asset management arena, his interests include investment advisory and wholesaling and distribution services, as well...