Feb. 23, 2024, 4:44 p.m. | Namrata Ganatra

Datanami www.datanami.com

Data and large language models (LLMs) can save banks and other financial services millions by enhancing automation, efficiency, accuracy, and more. McKinsey reports that the productivity lift from generative AI can lead to an increase of 3-5% of annual revenue in the banking sector, which is equivalent to $200 billion to $340 billion of additional Read more…


The post Leveraging GenAI and LLMs in Financial Services appeared first on Datanami.

accuracy ai automation banking banks bias billion customer support data decision support efficiency features financial financial services fraud detection genai generative hallucination language language models large language large language models llm llms mckinsey productivity reports revenue save sector services

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Principal Machine Learning Engineer (AI, NLP, LLM, Generative AI)

@ Palo Alto Networks | Santa Clara, CA, United States

Consultant Senior Data Engineer F/H

@ Devoteam | Nantes, France