降低复杂性成本_通过智能IT自动化从您的技术中获得更多（英）2025

Get more from your technology withintelligent IT automation Contents Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 Section 1:The unseenconsequences of complexity. . . . . . . . . . . . . . .6 Section 2:Delivering on thepromise of end-to-end workflows. . . . . . . .14 Section 3:Optimize operationsto get more from AI-powered IT. . . . . . . . . .22 Action guide. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .24 How IBM can help IBM has been empowering organizations tooptimize operations and achieve business agilitythrough automation for more than a century. Clientscan unlock the potential of IT automation throughIBM’s consulting offerings and enterprise-gradeAutomation Platform solutions integrated with AIand generative AI. By leveraging IBM’s advancedcapabilities, organizations can streamlineworkflows, enhance resilience,and accelerate business outcomes. For more information about services from IBMConsulting, visithttps://www.ibm.com/consulting/aiops For more information about IT automation solutionsfrom IBM Software, visithttps://www.ibm.com/solutions/automation Keytakeaways Intelligent automation dramaticallyimproves IT efficiency. The entire IT estate—not justthe AI portfolio—plays a role inbuilding a more profitable andproductive AI-powered enterprise. Organizations attribute a 31% reduction in IT coststo intelligent automation. Transformation and growth are nowtop IT priorities. 67% of the average enterprise IT budget is nowdedicated to improving IT and the business—ratherthan keeping the lights on—up from just 33% in 2023. AI makes IT more valuableto the business. Organizations that have broadly implementedgenerative AI in their IT processes attribute a90% ROI to digital transformation. AIOps and automation puts IT aheadof the hackers. Two in three highly automated companies leveragingAIOps platforms have reduced their attack surfaceand threat risk and improved proactive mitigation bydriving consistency and standardization at scale. Introduction Automate, innovate, elevate IT is the powerhouse of the modern enterprise, dictating how fastit can move—and how much value it can deliver. But getting morefrom technology in an AI-first landscape requires overcomingpersistent obstacles. Introduction Section 1Consequencesof complexity Section 2End-to-end workflows IT complexity and opaque workflows obscure opportunities. Disconnected datasilos and outdated technology inhibit solutions. Few organizations are reachingtheir full potential. Section 3Optimizing operations Action guide What defines organizations with the most advanced IT automation? They see higherrevenue growth, lower costs, better cybersecurity, and amplified business value.Breakthrough analysis from the IBM Institute for Business Value (IBM IBV) revealsthat highly automated organizations—those that have made the most progress withembedding AI in IT—have greater integration, deeper visibility, better datagovernance, and more advanced cloud adoption. These findings came from extensive analysis of benchmarking data provided by ITleaders—including CIOs, CTOs, and vice presidents or directors of IT—from 680companies across 18 industries and 21 countries (see “Research methodology” onpage 26). We assessed IT automation platforms and capabilities across processes,infrastructure, and security. We found that highly automated organizations attribute a 10% increase in revenueto their digital transformation efforts. They also attribute a 28% reduction in IT costs,a 16% reduction in time-to-market for new IT products and services, and a 36%reduction in cybersecurity incidents (see “By the numbers: The business value ofintelligent IT automation” on page 10). These outcomes are fueled by the flywheel created by intelligent IT automation anddigital transformation—including data and application modernization and migration,hybrid multicloud management, mainframe modernization, and process automation.AI agents are also driving results by autonomously handling a broad range of tasks,from incident handling to cloud provisioning to compliance management. Intelligent IT automation uses AI and machinelearning to deliver workflows that integrateseamlessly across the enterprise and actautonomously based on what they’ve learned. Think of it this way: The right data, cloud, and AI strategies enable intelligent ITautomation at scale, which powers IT and business transformation. Transformationsupports updated data, cloud, and AI strategies, which position the organization tocapture new value. This flywheel yields broad benefits, giving teams the tools andtime they need to develop innovative products and services, tap into newtechnologies, and drive revenue growth (see Figure 1). Introduction Section 1Consequencesof complexity Section 2End-to-end workflows Section 3Optimizing operations The end goal is to infuse generative AI across enterprise IT, using AI agents to enableautonomous operations at