Teknisk djupgående analys av AI, Azure, Next.js och beslutet bakom.
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.
Microsoft Ignite BRK116: Deploy AI agents at scale with Azure App Service, AI Foundry, and MCP tools. Built-in observability, governance, security. Hitachi case study shows 73% downtime reduction and 41% cost savings.
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.
Microsoft Ignite BRK112: GitHub Advanced Security + Defender for Cloud connect code to runtime for intelligent vulnerability prioritization. AI-powered remediation with Copilot Autofix. Reduce 47K findings to 2K actionable issues.