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2024 年自动化驱动因素.pdf

上传人: Fl****zo 编号:719230 2025-06-22 20页 2.04MB

1、Automation Drivers for 2024 Trends and challenges for industry in 2024Engage.Learn.Innovate.Ruth OBrienAutomation Specialist MENA&SSARed HatAgendaAutomation in 202401Why digital transformation(still)is a topic02Where to start 03Building your digital operational resilience storyWhy digital transforma

2、tion(still)is a topic5In todays uncertain world.6Test Question who will get to the nirvana end state of high SCALE,TRUST,UX and SPEED first?Scale:#of customersUser Experience:frictionless ease of useIncumbentsDisruptorsHurdles:Crossing the IT/biz divide,3LOD,fiefdoms,getting the old&new tech to talk

3、,skills.In essence:how to release tech as fast as a fintech(i.e.10 x faster)and reduce friction&complexity everywhereHurdles:Scale,trust,risk mind-set it is not ingrained,credibility,reputation(with the masses and the regulators)In essence:how to get new customers and build up reg&risk knowledge/cre

4、dibilityWhere to focus find ways to use technology to:reduce operating costsreduce friction in the client journeyreduce friction in the employee journeyincrease security and enhance privacy(i.e.sovereign cloud)accelerate business agility with more frequent releasesget their legacy tech&processes to

5、work harmoniously with cloud native techhelp the decision makers and control functions to understand technology and TRUST it(i.e.automation)see*article on automation as a super power from McKinseyThe operating landscapeWho is competing in the marketplace is changingThe race to the top&how technology

6、 can helphttps:/ banks in APAC achieve superior returns with relatively low IT spendWhats their secret?What the Analysts are saying7Align IT capabilities and spending with business strategyManage complexity across multiple IT layersInvest in resource development and performance managementLittle or n

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本文主要讨论了2024年自动化趋势及其在工业中的应用。关键点如下: 1. 数字化转型:强调在不确定的商业环境中,实现高规模、信任度、用户体验和速度的重要性。 - 核心数据:Scale(规模)、Trust(信任)、UX(用户体验)和SPEED(速度)。 2. 现代化重点:降低运营成本、减少客户和员工旅程中的摩擦、提高安全性和隐私保护、增强业务敏捷性。 - 核心数据:云计算、安全、合规性等。 3. 红帽最佳实践:从基础设施层到平台层(如Kubernetes)逐步实现自动化,提倡持续集成/持续部署(CI/CD)。 - 核心数据:Flight Path方法论、全球金融机构案例。 4. 运营韧性策略:提高监控和可观测性,引入自动化,采用基础设施即代码(IaC)和合规性即代码(CaC)。 - 核心数据:6R's(数字化转型的6个阶段)。 5. 现代平台:降低成本和复杂性,提高安全性和韧性,支持多云选项。 - 核心数据:IBM、AWS、Azure、Google Cloud等。 6. 学习资源:红帽Ansible Automation,为用户提供定制化自动化解决方案。 - 核心数据:Ansible Trial、红帽服务。 本文为企业和IT提供了在数字化转型过程中实现自动化和现代化的策略与建议。
"2024年自动化趋势何在?" "数字化转型如何起步?" "如何构建运营韧性故事?"
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