C101_Majumder.pdf

1、Emerging Knowledge,Data,&AI Ecosystems:Understanding the Enterprise Trends and Case StudiesLulit TesfayePartner and VP,Knowledge&Data ServicesEnterprise Knowledge,LLC.Urmi MajumderPrincipal Architect,Enterprise Knowledge,LLC.May 6,2026ENTERPRISE KNOWLEDGEWhy Are We All Here Today?How we create and c

2、onsume information is very different in less than a decade.GenAI adoption has reached a tipping pointEveryone agrees that AI is a major organizational disruptor but real organizational challenges persistInability to demonstrate real ROI beyond pilotsOverwhelmed by the sheer volume of overlapping AI

3、solutions and tools flood the market Stifled automation and progress towards innovation and enterprise AI because of poor data quality,unclear governance models,and application silosVision for Enterprise AI The RealityENTERPRISE KNOWLEDGEThe New KM,Data,and AI EcosystemUbiquitous AI(within Enterpris

4、e Applications)1Mixed User Ecosystem(Designing for Humans and Machines)2The Semantic Layer&Context Layer3Knowledge Asset AI Readiness4Monitoring,Observability,Unified Entitlements,and Operating Model51.Ubiquitous AI(within Enterprise Applications)Business Intelligence(BI)/AnalyticsWorkforce Manageme

5、ntData GovernanceData Intelligence PlatformProject Management Customer Relationship Management(CRM)Customer SupportCode ManagementDatabase Management SystemKnowledge BaseEnterprise Resource Planning(ERP)Payroll&HREvent Driven AlertsAPIsHumansExecutives,Managers,Business Strategists,Engineers Machine

6、sAI/ML Models,Autonomous Workflows,AI AgentsSemantic LayerMCP2.Mixed User Ecosystem:Designing for Humans and MachinesEnterprise Applications and InterfacesCurated Interface,Search,DashboardsKnowledge Asset SourcesThe Semantic Layer is a framework and architecture that enables data connections and a