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In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a game-changer, revolutionizing how Foundation Models (FMs) interact with organization-specific data. As businesses increasingly rely on AI-powered solutions, the need for accurate, context-aware, and tailored responses has never been more critical. Enter the powerful trio of Amazon Bedrock, LlamaIndex, and …

Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGAS Read More »

High service quality is crucial to the reliability of the Azure platform and its hundreds of services. Continuously monitoring the platform service health enables our teams to promptly detect and mitigate incidents that may impact our customers. In addition to automated triggers in our system that react when thresholds are breached and customer-report incidents, we …

Optimizing incident management with AIOps using the Triangle System Read More »

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 …

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

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 …

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

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 …

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

AI Mode is a new generative AI experiment in Google Search.

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 …

What’s new in Azure Elastic SAN Read More »

Google Research AI is making accurate health information more accessible and personalized while also improving health outcomes globally.

Learn more about Pixel Studio, including the just-launched human image generation feature.