Slowdowns caused by system disruption and complexities in your IT environment are more than an operational headache. They can have a direct impact on the bottom line. While it\u2019s enormously important to make IT systems more efficient and give time back to the organization, it\u2019s just as important to recognize the value of that time and understand the best ways to allocate it between workers, apps, and infrastructure. It comes down to how much time individual stakeholders spend on reactive vs. proactive tasks.\n\nThat\u2019s where AI and the cloud operational experience come in. AI-powered operations \u2013 or AIOps \u2013 can change the value of time for your business.\n\nReactive time equates to lost time\n\nFor IT organizations that constantly operate in a reactive mode, infrastructure and application management can feel like sailing upwind, dragging an anchor behind the boat while you attend to urgent issues.\n\nApplication and infrastructure downtime routinely brings end user productivity to a standstill and impedes your ability to support strategic initiatives. All of the time your team spends on reactive tasks \u2013 investigating slowdowns, troubleshooting bottlenecks, responding to IT service requests from line-of-business (LOB) stakeholders, and interrupting end user activity to apply patches and upgrades \u2013 adds up to lost productivity for the IT organization and the entire enterprise.\n\nThe longer an IT organization \u201cdrags the anchor\u201d in reactive mode, the slower your business moves, and the harder it is to pick up momentum on the other side of the disruption.\n\nProactive time builds momentum\n\nAIOps puts your team in a proactive mode, essentially putting infrastructure and apps on autopilot through intelligence and automation. Proactive systems anticipate potential issues and prevent unnecessary slowdowns, feeding forward progress of the business and letting it build momentum.\n\nBecause AIOps helps applications and infrastructure fade into the background, successful organizations are readily deploying the emerging technology. MIT recently interviewed customers, analysts, and IT leaders to learn how AI-powered autonomous operations help IT organizations plan and manage infrastructure, handling routine operations automatically to ensure their environments are agile and always-on. The MIT Technology Review Insights paper clearly shows how AIOps helps these IT professionals speed operations and focus their energy on growing the business.\n\nWithout the disruption of downtime, end users can rely on applications and infrastructure to support the speed of the business. The right AIOps platform can predict and head off some of the most time-consuming problems that IT admins face, improving the value of time for your business.\n\nValue of offloading IT operations\n\nIf your IT platform cannot provide cloud-like agility, the organization can get mired in simply managing hybrid infrastructure, with no time left to extract value from data. But that doesn\u2019t mean all data should reside in the cloud. While it does offer never-before-seen operational efficiencies, public cloud isn\u2019t the destination for every workload.\n\nData gravity dictates where a workload should run \u2013 on-premises, in the cloud, or a combination of the two \u2013 and once again, time is a critical factor. As Denis Vilfort at Hewlett Packard Enterprise points out, \u201cthe value of data typically declines over time. The newer the data, the more valuable it is. This is especially true for data captured in real time, which needs immediate processing to yield value.\u201d Which means, for maximum efficiency and agility, you must store data in the appropriate location to allow the fastest access to data with the most weight.\n\nModern AIOps platforms deliver the cloud operational experience wherever you need it: on-prem, in the cloud, or in a hybrid environment. The cloud operational experience brings with it simplicity and automation, helping you assess data gravity and store data appropriately, allowing IT to focus on building next-gen applications for the business without worrying about the underlying infrastructure.\n\nValue of self-service IT\n\nSelf-service IT is all about time. For businesses to move quickly, nothing can be more efficient than giving the right controls directly to developers and LOB stakeholders. In a typical IT environment, developers and LOB stakeholders must request capacity and access to data as they embark on each new project. According to a 2021 ESG Master Survey, 52% of organizations say it takes at least 24 hours for end users to get access to requested data. Imagine the agility improvements the enterprise gains if these stakeholders can provision application workloads using a point-and-click experience purely based on SLA requirements, eliminating the back-and-forth with enterprise IT, for instance, on provisioning capacity or performance headroom.\n\nThree imperatives to make the most of your time\n\nTo maximize the value of time, businesses need to move from reactive responses to application and infrastructure issues, to proactive actions. The following are key imperatives to becoming more proactive:\n\nMake your IT future-proof\n\nIn addition to these considerations, look for capabilities that can make your choice of AIOps solution future-proof:\n\nHPE InfoSight offers all of these capabilities, acting as a one-stop shop that provides a simpler way to manage complex environments. Through intelligence and automation, HPE InfoSight transforms IT operations and improves the value of time for organization leaders. Learn more about the industry\u2019s most advanced AI for infrastructure.\n\nTo learn more about how AIOps is changing the lives of IT leaders, check out this business paper from MIT Technology Review.\n\nAbout Ronak Chokshi\n\nRonak leads product marketing for HPE InfoSight at Hewlett Packard Enterprise. Prior to HPE, he worked at tech start-ups and large corporations including H2O.ai, MapR, HCL Technologies, TDK InvenSense and Marvell. Through his two decades of B2B product marketing and GTM experience, he has led product launch, worldwide sales enablement, content development, and funnel creation activities across AI, ML, cloud, MLOps, data management and IoT technology domains. Ronak holds a master\u2019s degree in Information Networking from Carnegie Mellon University and a bachelor\u2019s in Electronics Engineering from India. He resides in the San Francisco Bay Area with his family.