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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Solution overview The policy documents reside in Amazon Simple Storage Service (Amazon S3) storage. Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality. Amazons operating margin in 2023 was 6.4%.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Organizations possess extensive repositories of digital documents and data that may remain underutilized due to their unstructured and dispersed nature. Solution overview This section outlines the architecture designed for an email support system using generative AI.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

This includes the creation of landing zones, defining the VPN, gateway connections, network policies, storage policies, hosting key services within a private subnet and setting up the right IAM policies (resource policies, setting up the organization, deletion policies). First, the mean part.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

For example, consider a text summarization AI assistant intended for academic research and literature review. For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. This is illustrated in the following figure.

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Netflix’s Distributed Counter Abstraction

Netflix Tech

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Failures in a distributed system are a given, and having the ability to safely retry requests enhances the reliability of the service.

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Title Launch Observability at Netflix Scale

Netflix Tech

Part 3: System Strategies and Architecture By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques This blog post is a continuation of Part 2 , where we cleared the ambiguity around title launch observability at Netflix. The request schema for the observability endpoint.