8 posts about enterprise ai systems by 3 contributors.
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Learn how metacognition improves AI agents through agentic software development and SmartDB architectures. In this session, John Godel explains self-reflective AI systems, intelligent decision workflows, contextual reasoning, memory-aware agents, and scalable approaches for building advanced enterprise AI applications.
In this session from the AI Agents Conference 2026, Dr. Naveen Sharma explores why organizations still struggle to adopt AI effectively at the corporate level.
Learn what the AI distillation war means for AI agents, large language models, and the future of generative AI. This session explores model distillation, AI competition, enterprise AI economics, smaller efficient models, intellectual property concerns, and how distillation is reshaping modern AI systems.
Learn how to build AI agents directly from prompts using Microsoft Foundry Agent Service. This session covers prompt-driven agent development, AI orchestration, workflows, tool integration, memory, and scalable approaches for creating production-ready AI agents with Azure AI Foundry.
Learn how to implement AI agent control logic using pattern matching techniques. In this session, Haim Michael explains orchestration patterns, deterministic AI workflows, routing strategies, retry mechanisms, and structured approaches for building reliable and scalable AI agent systems.
Transform how your team works with AI! In this full session, Dmitry Bobolev explains the four essential steps to successfully embed AI agents into your team’s everyday workflow — from automation to real-time decision support.
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