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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning Blog

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. xxxx ESG USD High Yield (DR) UCITS ETF - Dist 4.

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The executive’s guide to generative AI for sustainability

AWS Machine Learning Blog

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. Within this context, you can use generative AI to advance your organization’s ESG goals. The typical ESG workflow consists of multiple phases, each presenting unique pain points.

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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Journey to AI blog

For enterprise applications, fine tuning, prompt engineering and running compute-intensive workloads require significant investment. Consider sustainability goals Whether as part of formal ESG programs or corporate missions, sustainability is more than good ethics—it’s increasingly recognized as better business.

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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

The Q4 Platform facilitates interactions across the capital markets through IR website products, virtual events solutions, engagement analytics, investor relations Customer Relationship Management (CRM), shareholder and market analysis, surveillance, and ESG tools.

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