展望 AI 和 ML 用例的业务架构背景.pdf

1、Business Architecture context to Business Architecture context to envision AI and ML use casesenvision AI and ML use casesHassan Ahmed Hassan,PhDDirector,Business Architecture and Analysis HeadCommercial International Bank CIBHAgenda2Problem DefinitionAI,ML,DL and big data definitionsAn approach to

2、transform the business based on the AI,ML and DL technologiesStart with end-to-end customer journeysMap the customer journeys to business architecture domainsEnvision the AI use cases to transform the business capabilities Problem Definition AI,ML and DL technologies are transforming the financial b

3、usiness landscape.There is a need for a wholistic and strategic approach to invest in the AI,ML,and DL technologies.Business architecture is defined in the BIZBOK Guide as“a blueprint of the enterprise that provides a common understanding of the organization and is used to align strategic objectives

4、 and tactical demands”.In this presenation,the business architecture framework is proposed as a context to envision and guide the deployment of AI,ML and DL use cases.35Big AI6AI and Data work in three business domains7Three AI&Data Pillars8Lending customer journeyEstablish Agreement Value Stream9Re

5、ceive Request Value Stage Capabilities Mapping10Evaluate Risk Value Stage Capabilities Mapping1112Lending customer journey to capability mapping13Product recommendation-Capability dependency map14Market campaign-Capability dependency map15Establish agreement KYC and onboarding16Establish agreement d

6、ue diligence and monitoringConclusionAI,ML,DL and BD technologies provide opportunities an challenges for the financial industry landscape.Business architecture defines the blueprint of the enterprise and provides a wholistic context to gui