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PPCC 2026: Bringing AI and your business processes together PPCC 2026:将AI与您的业务流程相结合

PPCC 2026 (October 27–29, Las Vegas) focuses on integrating Microsoft Copilot, Work IQ, agents, and Power Platform to transform enterprise business processes The NFL case study demonstrates practical AI application through a Game Ops Dashboard built on Copilot Studio and Power Platform, standardizing incident reporting and enabling operational learning Microsoft advocates a process-first approach: start with one meaningful workflow, learn from it, improve it, then scale—rather than attempting or PPCC 2026将于2026年10月27-29日在拉斯维加斯MGM Grand举办,聚焦Microsoft Copilot、Work IQ、agents与Power Platform的整合应用 会议核心理念是从单一工具AI化转向端到端业务流程的智能化改造,强调Copilot Studio、Power Apps、自动化工作流与Dataverse的协同 NFL案例展示了基于Copilot Studio和Power Platform构建AI驱动Game Ops Dashboard,实现标准化事件报告与运营数据驱动决策 会议提供200+场会议、24场动手工作坊,涵盖架构设计、Agent安全治理、企业

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Hot 热度
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Quality 质量
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Impact 影响力

Analysis 深度分析

TL;DR

  • PPCC 2026 (October 27–29, Las Vegas) focuses on integrating Microsoft Copilot, Work IQ, agents, and Power Platform to transform enterprise business processes
  • The NFL case study demonstrates practical AI application through a Game Ops Dashboard built on Copilot Studio and Power Platform, standardizing incident reporting and enabling operational learning
  • Microsoft advocates a process-first approach: start with one meaningful workflow, learn from it, improve it, then scale—rather than attempting organization-wide overhaul at once
  • Key technical themes include combining deterministic workflows with agentic reasoning, grounding agents in Dataverse for business context, and implementing production-grade security and governance
  • The conference features 200+ sessions, 24 workshops, and emphasizes cross-functional collaboration between business experts, developers, and admins

Why It Matters

This article signals Microsoft's strategic push toward enterprise AI agents as process-level automation tools rather than isolated chatbot features, which directly impacts how organizations design and deploy AI solutions. For AI practitioners, it highlights the growing importance of governance, security, and cost management as critical differentiators between experimental AI and production-grade deployments. The emphasis on combining deterministic workflows with agent reasoning reflects an industry-wide shift toward hybrid automation architectures that balance flexibility with reliability.

Technical Details

  • Copilot Studio and Power Platform integration: The NFL's Game Ops Dashboard was built using Copilot Studio combined with Microsoft Power Platform, demonstrating how AI agents can be grounded in existing enterprise systems and data models
  • Dataverse as agent context layer: Sessions explore how Dataverse provides business data, meaning, and reusable business skills that ground agents, contributing to Work IQ capabilities
  • Hybrid automation architecture: The conference emphasizes combining deterministic workflow automation with agent reasoning within the Copilot Studio designer, allowing routine steps to be automated while exceptions route to human judgment
  • Enterprise governance framework: Production-ready agents require permissions management, data access controls, DLP (Data Loss Prevention) policies, and enterprise AI guardrails—addressed in dedicated security sessions
  • End-to-end process design: A full-day workshop covers building complete intelligent business processes integrating applications, automations, agents, Dataverse, human approvals, governance, security, and application lifecycle management (ALM)

Industry Insight

  • Organizations should adopt a phased, process-centric AI strategy rather than pursuing blanket enterprise AI rollouts; starting with a single high-impact workflow allows teams to build expertise, demonstrate value, and iterate before scaling
  • The convergence of low-code platforms (Power Platform) with agentic AI represents a significant opportunity for business experts and citizen developers to participate in AI solution building, but success depends on strong collaboration with IT for governance and security
  • As AI agent deployments move from experimentation to production, enterprises that invest early in governance frameworks, DLP policies, and cost management practices will gain a competitive advantage in deploying AI safely and sustainably at scale

TL;DR

  • PPCC 2026将于2026年10月27-29日在拉斯维加斯MGM Grand举办,聚焦Microsoft Copilot、Work IQ、agents与Power Platform的整合应用
  • 会议核心理念是从单一工具AI化转向端到端业务流程的智能化改造,强调Copilot Studio、Power Apps、自动化工作流与Dataverse的协同
  • NFL案例展示了基于Copilot Studio和Power Platform构建AI驱动Game Ops Dashboard,实现标准化事件报告与运营数据驱动决策
  • 会议提供200+场会议、24场动手工作坊,涵盖架构设计、Agent安全治理、企业AI落地等主题
  • 微软强调"从实验到生产"的务实路径:选择关键流程→学习改进→规模化成功模式,而非一次性全面改造

为什么值得看

本文揭示了企业AI落地的关键范式转变:从单点工具增强转向端到端业务流程重构,对AI从业者理解Agent与企业系统的整合路径具有重要参考价值。会议披露的NFL案例和Work IQ架构细节,为构建可治理、可规模化的企业级Agent系统提供了实践参考。

技术解析

  • Copilot Studio + Power Platform整合架构:以采购流程为例,员工通过Copilot发起请求,Agent聚合供应商信息与采购策略,Power Apps应用数据模型与权限规则,工作流处理常规步骤,高风险异常转人工审批,形成"Agent推理+确定性自动化+人工判断"的分层架构
  • Dataverse与Work IQ的关系:Dataverse作为企业数据底座,为Agent提供业务数据、语义理解和可复用业务技能,Work IQ在此基础上构建企业级智能能力,实现Agent与业务系统的深度绑定
  • 确定性自动化与Agent推理的融合:在Copilot Studio设计器中,工作流(确定性规则)与Agent(推理能力)可结合使用,复杂业务流程中常规步骤由工作流处理,需要判断和决策的环节交由Agent
  • 企业级Agent安全治理框架:涵盖权限管理、数据访问控制、DLP策略和企业AI护栏,确保Agent从开发到生产部署的全生命周期安全可控
  • 端到端智能流程构建工作坊:整合应用、自动化、Agent、Dataverse、人工审批、治理、安全和ALM(应用生命周期管理)的完整实践路径

行业启示

  • 企业AI投资应从"工具增强"转向"流程重构":单一环节的AI化价值有限,真正收益来自端到端业务流程的重新设计,需业务专家、开发者和管理员协同定义自动化、Agent推理和人工判断的边界
  • 数据底座决定Agent能力上限:Dataverse等企业级数据平台是Agent获得业务语义和可复用技能的基础,企业应优先投资数据治理和业务知识结构化
  • 治理与安全是企业AI规模化的前提:从实验到生产的跨越依赖于权限、DLP、护栏等治理机制的完善,"Secure by Design"理念应贯穿Agent开发全流程

Disclaimer: The above content is generated by AI and is for reference only. 免责声明:以上内容由 AI 生成,仅供参考。

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