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1、S P S 3 1 6Koch Industries Data Migration Success with AWS Countdown Premium Amit AlampallyHe/HimProduct Team LeadAWSAjay GuptaHe/HimVP Technology&ArchitectureTransaction Network Services(Koch Industries)2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Agenda1.Challenges in running
2、 ML applications2.Best Practices in scaling ML Ops3.AWS Countdown Premium overview4.TNS(Koch Industries):Modernization Use-case5.TNS Role of AWS Countdown and Next Steps6.Call to action and related sessions 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.4QualifyInitiateBuildValid
3、ateDeployScaleJourney of an AI/ML use case from ideation to production 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Challenges in running ML workloads on-prem1.Long deployment cycles2.Production upgrades are difficult3.Frequent outages4.Fixed costs on-premises5.Unused capacity6
4、.Strongly“coupled”storage&compute7.Always-on is inefficient8.Lack of self-service choiceStatic,notscalableOutagesimpactProductionupgradeSlowdevelopment cycleFixed costStorage computeAlways onSelf service5 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.46%30%Fail to make to produc
5、tionGenAI projects abandoned11mo.Time-to-value1.Source:Gartner AI in Organizations Survey,20222.Source:Press Release on Gartner Data&Analytics Summit,July 20243.Based on the average time of customers interviewedTherefore,many organizations struggle with ML outcomes6 2025,Amazon Web Services,Inc.or i
6、ts affiliates.All rights reserved.MLOps-Intersection between People,Process and TechnologyPeopleProcessesTechnologyML engineerData engineerData scientistPlatform adminGovernanceExperiment TrackingObservabilityAI/Model RegistryInfra-as-codePrompt ManagementOnboardingApprovalCI/CDRisk mitigationML/AI