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Teknisk djupgående analys av AI, Azure, Next.js och beslutet bakom.

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Fine-Tuning in Microsoft Foundry: Building Production-Ready AI Agents - Microsoft Ignite 2025

Microsoft Ignite BRK188: Fine-tuning in Microsoft Foundry transforms generic models into production-ready agents. Synthetic data generation, supervised + reinforcement fine-tuning, 40-90% cost reduction, 95%+ accuracy. Real-world results: 2M docs/day, $27M savings.

November 28, 20259 918 visningarAI & Cloud Infrastructure

Running Open-Source AI Models at Scale: Azure Container Apps, AKS, and On-Premise Deployments - Microsoft Ignite 2025

Microsoft Ignite BRK117: Deploy open-source AI models (Llama 3.3, Mistral) with Azure Container Apps serverless GPUs, AKS with Kaido workflows, and on-premise infrastructure. Cost reduction 60-85%, data sovereignty, and hybrid architectures with Azure Arc.

November 28, 20256 142 visningarAI & Cloud Infrastructure

Enterprise AI Agents at Production Scale: Architecture, Security, and Real-World Impact - Microsoft Ignite 2025

Microsoft Ignite BRK114: Enterprise customer panel on production AI agents. Multi-tier architectures, event-driven orchestration, defense-in-depth security, human-in-the-loop patterns. Democratization with governance. Model selection optimization. Real deployments delivering $10M-$50M+ annual value. From experimentation to strategic differentiation.

November 28, 20259 465 visningarAI & Cloud Infrastructure