Remove en enterprise-industries financial-services
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What you need to know about vehicle insurance

Helen Dewdney

There are legal obligations under the Financial Conduct Authority (FCA) rules governing insurance that providers “MUST” act in the best interest of the customer (ICOBS 2.5-1) The contract of insurance is about providing “financial indemnity” for the financial loss that has occurred. 1) [link] However, they rarely do.

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A 4-Step Plan For New Chief Customer Officers, With Donna Peeples – CB29

Customer Bliss

Now she holds the same role at Pypestream , an enterprise mobile messaging platform. The biggest differences between “enterprise” and “startup” from a CCO perspective are the scale of the work and the need to protect an established legacy and culture in the enterprise example.

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Build financial search applications using the Amazon Bedrock Cohere multilingual embedding model

AWS Machine Learning

Enterprises have access to massive amounts of data, much of which is difficult to discover because the data is unstructured. Text embeddings enable industry professionals to extract insights from documents, minimize errors, and increase their performance. Cohere’s Rerank endpoint is designed to bridge this gap.

Financial 113
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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique. We use an ml.t3.medium

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Financial pricing. Computer vision.

Metrics 72
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Build trust and safety for generative AI applications with Amazon Comprehend and LangChain

AWS Machine Learning

We are witnessing a rapid increase in the adoption of large language models (LLM) that power generative AI applications across industries. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to uncover information in unstructured data and text within documents.

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Build an internal SaaS service with cost and usage tracking for foundation models on Amazon Bedrock

AWS Machine Learning

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). API gateways can provide loose coupling between model consumers and the model endpoint service, and flexibility to adapt to changing model, architectures, and invocation methods.