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Innovating at speed: BMW’s generative AI solution for cloud incident analysis

Innovating at speed: BMW’s generative AI solution for cloud incident analysis

This post was co-authored with Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, and Luisa-Sophie Gloger from BMW Group. The BMW Group—headquartered in Munich, Germany—is a vehicle manufacturer with more than 154,000 employees, and 30 production and assembly facilities worldwide as well as research and development locations across 17 countries. Today, the BMW Group (BMW) is the …

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Time series forecasting with LLM-based foundation models and scalable AIOps on AWS

Time series forecasting with LLM-based foundation models and scalable AIOps on AWS

Time series forecasting is critical for decision-making across industries. From predicting traffic flow to sales forecasting, accurate predictions enable organizations to make informed decisions, mitigate risks, and allocate resources efficiently. However, traditional machine learning approaches often require extensive data-specific tuning and model customization, resulting in lengthy and resource-heavy development. Enter Chronos, a cutting-edge family of …

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

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

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. However, building and deploying trustworthy AI assistants requires a robust ground truth and evaluation framework. Ground truth …

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What’s new in Azure Elastic SAN

What’s new in Azure Elastic SAN

I’m excited to share our recent updates to Azure Elastic SAN—our solution for high-scale cost efficiency in the cloud. Whether you’re looking for a seamless migration of your SAN environment or looking to consolidate existing workloads within the cloud, this enterprise-class offering stands out by helping you simplify your storage management experience and giving you …

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Securing generative AI models on Azure AI Foundry

New generative AI models with a broad range of capabilities are emerging every week. In this world of rapid innovation, when choosing the models to integrate into your AI system, it is crucial to make a thoughtful risk assessment that ensures a balance between leveraging new advancements and maintaining robust security. At Microsoft, we are …

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Accelerate AWS Well-Architected reviews with Generative AI

Accelerate AWS Well-Architected reviews with Generative AI

Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize …

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Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. It’s a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts. It also provides developers with greater control over the LLM’s outputs, including the ability …

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