Digital transformation offers enterprises a multitude of long-term benefits and new opportunities both within and outside of the IT department — such as helping to improve customer outcomes, grow digital revenues, reduce operational costs and launch new products. As part of digital transformation initiatives, IT teams are quickly adopting AIOps solutions to accommodate a new multifaceted infrastructure.
In fact, a recent Gartner survey found that AIOps implementation will see an annual growth trajectory of 15% per year through 2025. However, there are still several roadblocks IT leaders must overcome when adopting AIOps — namely, understanding how to showcase ROI and changing their team's cultural mindset around adopting a new strategy.
Quantifying the Tangible and Intangible
It can be quite difficult to quantify the ROI from a new technology, but in the IT industry, it' a crucial component to adoption. IT operations are a prominent expense to many businesses, and IT teams must be able to justify the additional spend. AIOps is multifaceted, therefore when incorporating it into IT departments, the value should be communicated in a variety of ways through an emphasis on productivity, customer experience and reduced risk — which go far beyond cost savings.
IT leaders are responsible for maintaining high service reliability and reducing risk of bugs and outages — and incorporating AIOps into their operations helps them do so. Also consider intelligent automation taking over operations that often keeps IT talent tied up. With AIOps, these individuals are free to further develop skills and work on projects that add bottom-line value to the business. The immediate visible profit may not be of magnitude, but long-term ROI is achieved by removing the cumbersome, manual monitoring by humans.
Uproot Cultural Mindsets
It' likely IT professionals will go into survival mode when discussions of adopting AIOps begin. A fear of job loss often comes up when evaluating automation and causes employees to be reluctant to the new technology. However, it' important to reiterate that AIOps does not replace IT operations staff. Instead, the technology elevates the department and helps teams handle potential risk exposures. Business executives should lead their teams through workplace change and balance employee expectations when implementing AIOps.
In fact, as companies begin to implement AIOps, the potential of additional jobs will soon follow. We can categorize these roles in two ways – jobs related to developing and working alongside the new technology and jobs related to scaling the business as AIOps' benefits begin to unfold.
The implementation of any new technology within an enterprise can be challenging, but can lead to growth and success when adopted correctly. Successful AIOps initiatives can eliminate manual tasks, enhance scalability, boost collaboration, maximize operational efficiency and help take over mindless tasks of IT professionals for a more fulfilling job. Understanding how to showcase ROI and shift the cultural mindset of your organization will help maximize the value of AIOps.
The Latest
Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place ...
In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...
In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...
Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...
In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...
Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...
App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...
Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...
As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...
The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...
