2024数字企业成熟度指数报告（英）

The Impact of Generative AI Contents 3Introduction4The State of Digital Transformation in 20247Key Capability: Infrastructure11Key Capability: Observabilityand Automation15Key Capability: Data18Key Capability: App Delivery21Key Capability: Site ReliabilityEngineering (SRE) Operations24Key Capability: Security27Conclusion28About the Report Introduction We’ve previously described this transformation in our book, Enterprise Architecturefor Digital Business and dug deeper into the six technical capabilities needed toaccelerate the journey: The past year has demonstrated, quite publicly, the folly of failing to modernize one’senterprise architecture. From outages to breaches, headlines often proclaimed theconsequences of failing to modernize for everyone to see. If the spectacle of outages and breaches did not spur digitaldawdlersto action, perhapsthe arrival of generative AI will. In the era of AI, the entire digital transformation journeyto modernize has one goal: to establish an adaptable enterprise architecture capable ofharnessing the power of AI—both generative and predictive. Generative AI has providedthe clarity organizations need to recognize how valuable AI will be to becoming a digitalbusiness. Many organizations are now clearly signaling their intention to finish theirtransformational journey. To achieve that, organizations need an architecture that can absorb and incorporatenew technologies at the rate with which they emerge. Generative AI is only the tip ofthe iceberg. There will be change, and it will be rapid and unpredictable. A modern,flexible enterprise architecture is the way to ensure the ability to do just that. There are six key capabilities that underpin such an enterprise architecture. Realizingthese capabilities requires organizations to modernize entrenched practices andapproaches to support the needs of a digital enterprise. To help enterprises, we use a model based on these technical capabilities to measuretheir readiness to thrive as a digital business. These measures span the use of coretools, technologies, and adoption of practices critical to the six key capabilitiesidentified in our book. “Organizations need an architecturethat can absorb and incorporate newtechnologies at the rate with whichthey emerge.” Today, we’re thrilled to deliver the results of that analysis in the second annualDigital Enterprise Maturity Index. The State of Digital Transformationin 2024 Digital Enterprise Maturity Index The past year has brought plenty of reasons for organizations to accelerate digitaltransformation efforts. Between the arrival of generative AI and the increasing numberof high-profile outages and breaches due to aging enterprise architectures, it was nosurprise to see that most organizations are nowdabblingin enterprise architecturemodernization. Some organizations made significant progress, with nearly one in fourjoining the ranks ofdoersthis year. A dwindling percentage of organizations continuetodawdle, with little progress on their journey. 29%Doersare considered thosewith scores in the top 20%. The impact of these accelerated transformation efforts can be seen in the averagenumber of apps and APIs organizations manage on their journey. Digitaldabblersanddoershave a significantly higher number of APIs under management thandawdlers. Organizationsdabblingin digital transformation tend to be in a phase ofdigital expansion, which focuses on delivering digital services and modernizing IT.Organizations in this phase build seamless digital experiences for their users. Whilethese experiences present as a single application, they are delivered by a workflowstitched together from multiple applications that are connected using APIs. 54%Dabblersare considered thosewith scores in the middle 60%. This is the result of modernization. When we asked how organizations planned tomodernize applications back in 2021, 61% told us they were “adding a layer of APIs toenable modern user interfaces” as a method of modernization. In 2022 that numberwas 45%. And then in 2023 46% of respondents told us they were moving to SaaS toreplacetraditional apps, and 59% were going toreplacewith modern equivalents,which inherently increases the number of APIs. As a result, organizations that areinvested in digital transformation will arrive at their destination with many moreAPIs than apps due to modernization. 17% Dawdlersare considered thosewith scores in the bottom 20%. Evidence of digital maturity is seen not just in the ratio of apps to APIs, but in howdistributed those apps are across core, cloud, and edge. A modernized infrastructurecan support a more distributed portfolio of applications and the delivery and securityservices needed to protect them. We see this in the number of organizations who are operating hybrid apps; that is,applications whose components are in at least two distinct environments. Mostcommonly, elements of an application will be deployed both on-premises and inthe public