Report

Wealth Management Guide to Enterprise LLM Solutions: Selection Factors and Leading Providers

Making an informed selection that aligns with an organization’s priorities is crucial for maximizing this technology’s value proposition.
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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.

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