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AI Summit NYC 2025 Keynote: From Smart Models t...

AI Summit NYC 2025 Keynote: From Smart Models to Agent Factories

Keynote Delivered at AI Summit NYC
Dec 10-11 2025
https://newyork.theaisummit.com/

Abstract:
We are seeing a paradigm shift in how AI solutions are being developed - from monolithic AI apps to multi-model, multi-agent architectures that require new end-to-end development workflows and unified platform capabilities to accelerate the path from planning to production. From smart models that automate your model selection to optimize for cost and quality - to agent factories that automate your operations and scale your delivery, with Microsoft Foundry you get a Simple, Trusted, and Powerful platform for your needs,

Keynote slides derived from Microsoft Ignite talk on Microsoft Foundry
See https://ignite.microsoft.com/

Avatar for Nitya Narasimhan, PhD

Nitya Narasimhan, PhD

December 18, 2025
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Transcript

  1. From Smart Models To Agent Factories Nitya Narasimhan, PhD Senior

    AI Advocate Microsoft AI SUMMIT NYC 2025 Accelerate AI Solution Development With the Microsoft Foundry Platform
  2. AI adoption is accelerating and AI agents are at the

    forefront 1.3B AI agents by 2028 82% of organizations intend to integrate them within 1–3 years 90% of enterprise software engineers will utilize AI code assistants by 2028
  3. The new wave: multi-models and agentic AI • Select the

    best model in a fast-evolving landscape and continue using the best model throughout AI app and agent lifecycle • Lack of streamlined tools for orchestrating AI agents • Complex enterprise workflows with data spread across different sources • Cost management and scalability of generative AI models • Continuously monitor and optimize AI apps and agent performance Challenges 81% of leaders expect agents to be integrated into their company’s AI strategy in next 12-18 months Source: Work Trend Index Annual Report 85% of enterprises are pursuing multi- model strategies, emphasizing the need for rapid testing and deployment of new models to maintain a competitive edge Source: Forrester 70% or more generative AI experiments never make it to production Source: Deloitte
  4. Single model Simple POCs Point-in-time ROI Reactive monitoring Human-driven deployment

    Multiple point-based security solutions Deterministic logic features Manual coding – Building – Testing Multi-model Automated agentic workflows Continuous improvement Next-gen AI platform Ongoing predictive observability Dynamic AI-driven orchestration End-to-end platform-based security approach AI-agentic DevOps Proactive security and governance Adaptive reasoning agents Writing prompts – Creating – Evaluation Shift The way we build AI apps and agents is changing From To
  5. AI development fundamentals 1 AI app and agent orchestration 2

    Models 3 Knowledge and tools 4 Observability and agent controls 5 Fine-tuning and customization 6 Deployment to local and edge
  6. Microsoft Foundry The AI app and agent factory Models Agent

    Service IQ Tools Machine Learning Control Plane Cloud Edge Security, compliance, and governance
  7. Microsoft Foundry Streamline development with native IDE experiences GitHub Visual

    Studio Visual Studio Code Copilot Studio Models Agent Service IQ Tools Machine Learning Build context-aware and action-oriented agents with 1,400+ pre-built connections and MCP tools Microsoft Bing Microsoft Fabric Microsoft OneLake Control Plane Leverage a complete signals management layer with Microsoft Security integrations Microsoft Agent 365 Microsoft Defender Microsoft Purview Microsoft Entra Security, compliance, and governance
  8. Microsoft Foundry The full enterprise package Model policy 99.9% uptime

    99% latency SLA for provisioned Data Zone for US and EU Off peak capacity @ 50% for models Priority processing for Azure OpenAI Model router Content safety by default for models RAG through Azure AI Search VNET
  9. 80,000+ customers are seeing ROI with Microsoft Foundry 375% growth

    in transactions ​Reduced hours for healthcare staff 95K auditors adopting Clara Agent​ 75% Requests resolved autonomously
  10. Zava Agents Service agent In-store kiosk agent Marketing agent Customer

    service agent Weekly planning agent Inventory agent
  11. 1 Models 2 Hosted Agents 3 Developer stack & tools

    3 Core Capabilities for Empowering Developers
  12. Fine Tuning in Foundry General availability Effortless model customization with

    support for new models, synthetic data, and quick-start training
  13. Foundry Agent Service General availability Securely build, connect, and scale

    agents with workflows, built-in memory, serverless hosting
  14. AI Agents – In Software Lifecycle Code Verify Plan Test

    Operate Optimize Deploy Agent mode Coding agent Spark workbench Create issues Brainstorm Spec kit Code quality Code review Autofix Migration Spark runtime Deployment App modernization SRE agent Support Investigate Metrics
  15. Accelerate innovation with a complete, integrated, & interoperable AI platform

    Drive business results with action-oriented, context-aware agents Govern the AI lifecycle with organization-wide observability and controls The App & Agent Factory