3295 - 利用 IBM Watson X 优化服务交付：Experis Agentic AI 之旅.pdf

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1、Data Classification LevelExperis IBM watsonx Experis AI Code Engine:Enterprise-Scale Code GenerationIBM TechXchange|20minute sessionContext&Value Prop(2 min)Overview(8 min)Governance&Guardrails(3 min)AI Workbench&Proposal Engine(5 min)Q&A+CLI-to-Scaffold Demo(2 min)Outcomes&Agenda(20 minutes)12543Le

2、arn how Experis operationalizes AI with IBM watsonx to ship enterprisegrade code fastsafely and transparently.Enterprise Development NeedsNeedsConsistencySpeed+QualityKnowledge TransferRegulatory ComplianceResource OptimizationKnowledge transferEncode and apply decades of best practicesSpeed+quality

3、 Deliver faster without compromising enterprise requirementsRegulatory complianceEU AI Act,ISO 42001,NIST AI RMF readinessResource optimizationFree engineers for highvalue workConsistency at scaleStandards across distributed teams and projectsOverviewCLIdriven,multiagent pipeline that converts natur

4、al language into productionready scaffoldsGoverned by design with lifecycle tracking,explainability,and auditabilityBuilt on IBM watsonx Orchestrate for agent collaboration across requirements architecture code QA docsMulticloud by default;integrates with Git/CI/CD and enterprise toolsImpact:project

5、 initiation up to 75%faster while maintaining qualityArchitecture(at a glance)CommandLine Interface(CLI)Naturallanguage requirement intakeInteractive promptingRealtime validation and feedbackAI Agent Orchestration(IBM watsonx Orchestrate)Requirements Analysis,Architecture Planning,Code Generation,QA

6、,Documentation agentsOrchestrator routes tasks and maintains contextBestPractices Knowledge BaseEnterprise patterns,security/performance templates,compliance requirementsIntegration&ToolingGit/GitHub/GitLab/BitbucketJenkins/GitLab CI/Azure DevOpsJira/BoardsConfluence/SharePointArchitecture(detail vi