Remove category industries financial-services
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Accelerating scope 3 emissions accounting: LLMs to the rescue

IBM Journey to AI blog

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

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LLM Use-Cases: Top 10 industries that can benefit from using large language models

Data Science Dojo

Large language models, which are a prominent category of transformer models, have proven to be exceptionally versatile. These models significantly expand the purview of AI across industries and businesses, poised to usher in a new era of innovation, ingenuity, and efficiency.

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Implementing Gen AI for Financial Services

Iguazio

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

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How to Monetize Financial Data in Snowflake

phData

The financial data market is a booming industry currently estimated to be worth over $30 billion, with much of this growth being driven by the increasing demand for data-driven insights in the financial sector. As a result, financial institutions are sitting on a goldmine of valuable data that can be monetized.

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Enhancing AWS intelligent document processing with generative AI

AWS Machine Learning Blog

AWS intelligent document processing (IDP), with AI services such as Amazon Textract , allows you to take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from any scanned document or image. FMs make it easier to generate such insights from the extracted data.

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How to build a successful risk mitigation strategy

IBM Journey to AI blog

Types of risk While risks will vary greatly from one industry to the next, there are a few commonly identified risks worth noting. Legal risk: This is a compliance risk that involves the organization breaking government rules, resulting in a risk of financial and reputational loss.

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What is a FinOps Framework and How Does it Help with Data Platform Optimization?

phData

Financial Operations (FinOps) is an operating framework that promotes a culture of optimizing platform performance to ensure maximum ROI. This blog outlines the fundamental principles of FinOps, what it means for the modern data platform , and provides examples of common organizational circumstances that have been improved with this approach.