Technical depth on AI, Azure, Next.js, and the engineering decisions behind them.
Microsoft Ignite BRK193: Build agents with Azure AI Search knowledge features. Connect to SharePoint, web, blob. Hybrid search (keyword+vector+semantic), agentic retrieval with query planning, reasoning effort modes, Foundry IQ with MCP protocol. Code-focused implementation guide.
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.
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.