2373 Demystifying AI_AI Explainability with Machine Learning for Z.pdf

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1、IBM TechXchangeSession#2373Session#2373Demystifying AI:Demystifying AI:AI Explainability with AI Explainability with IBM Machine Learning IBM Machine Learning for Zfor ZVikas Vikas PujarPujarMainframe Modernization ArchitectMainframe Modernization ArchitectAccentureAccentureVineet DumirVineet DumirA

2、I Solution ArchitectAI Solution ArchitectIBM Systems Development LabIBM Systems Development LabAgenda2AI on IBM Z OverviewIBM Machine Learning for ZAccenture MLz ActivitiesMLz:Trustworthy AI CapabilitiesDemoIBM Z IBM TechXchange/October 2024AI is disrupting every industryEnterprises want to turn the

3、ir data into a competitive advantageBankingBankingModernize loans with smart lending,reduce risk with predictive analysis and fraud detectionTelecomTelecomOptimize infrastructure,offer self diagnosis&troubleshooting,dynamic ads and offersGovernmentGovernmentImprove public services,insight-driven pol

4、icy making,identify and prevent fraudInsuranceInsuranceProvide best-in-class claim experiences,meet compliance requirements,and identify fraudHealthcareHealthcareOffer personalized treatment,detect disease faster and automate drug discovery and diagnosisSupply chainSupply chainPredict demand and sup

5、ply trends,improve ops visibility,remove bottleneck/constraintsTechnologyTechnologyIncrease productivity with automation,improve operations and service managementAutomotiveAutomotiveEnhance driving experience,offer predictive maintenance services,optimize processesRetailRetailCreate personalized exp

6、eriences,improve in-store operations,manage risks and increase profits IBM Z IBM TechXchange/October 2024However,the following barriers prevent organizations from benefiting from AIIntegration and scaling challengesAI governanceData complexityHigh priceLimited skill and expertiseSmarter Business Dec