In a world where constant change is becoming routine, Gartner said that infrastructure and operations (I&O) leaders must shift their traditional focus from efficiency to one of adaptive resilience.
"I&O leaders must re-imagine how they manage their talent, their platforms and operations, if they want to dynamically and quickly exploit new opportunities," said Dennis Smith, Research VP at Gartner.
I&O Leaders Must Retain, Attract and Evolve Talent
In a world where being adaptable is paramount, talent management plays a more critical role than ever for I&O organizations. A Gartner survey showed that talent availability is the most significant adoption barrier to 64% of emerging technologies. This dynamic — combined with a fiercely competitive labor market — are putting more pressure than ever on I&O leaders.
I&O leaders must learn how to retain the talent they have, attract new talent, and evolve everyone's skills along the way. By embracing diversity, equity, and inclusion's best practices, organizations can build the right resources over time and use agile learning methods to adapt and evolve skillsets as needed.
Gartner analysts predict that by 2026, 50% of large organizations will use agile learning as the upskilling/reskilling method.
I&O Leaders Must Build Adaptive Platforms
"With over 40% of organizations' staff now acting as business technologists, we have a wider variety of users depending on IT departments today than ever before," said Douglas Toombs, Research VP at Gartner. "The rapid growth of "citizen IT" business technologists, paired with the vast array of public and private infrastructure choices available in the market, has placed more pressure on I&O to perform than ever before."
By building adaptive platforms that are loosely coupled, but tightly integrated, I&O can empower creators of all types of systems throughout the organization.
"As hyperautomation is a critical path to achieve growth and operational excellence, I&O leaders must make automation a first-class discipline in everything they do," said Toombs.
By embracing hyperautomation strategies, I&O can pave the way for intelligence systems, such as AIOps and incident response automation, that play a key role in the day-to-day operations of IT.
Gartner estimates that by 2025, 60% of I&O teams will use AI-augmented automation across their organizations, up from 1% in 2020.
I&O Leaders Must Co-Create with the Business
"No matter how good your technologies or solutions are, no matter how talented your staff is, I&O leaders must align I&O with the way the business works to continuously adapt in a world of constant change," said Julia Palmer, Research VP at Gartner. "I&O leaders will have to learn to work towards adaptive operations to focus on multiple business models, and rethink how I&O engages and partners with the business."
I&O leaders must help their organization grow adaptively by sensing and responding to business changes. Embedding I&O closer to the business with the use of fusion teaming will enable leaders to quickly adjust plans, forecasts, budgets, and resources as business environments change.
"This is not about growing I&O. It is about I&O enabling the growth of the business," Palmer concluded.
The Latest
The 2024 State of the Data Center Report from CoreSite shows that although C-suite confidence in the economy remains high, a VUCA (volatile, uncertain, complex, ambiguous) environment has many business leaders proceeding with caution when it comes to their IT and data ecosystems, with an emphasis on cost control and predictability, flexibility and risk management ...
In June, New Relic published the State of Observability for Energy and Utilities Report to share insights, analysis, and data on the impact of full-stack observability software in energy and utilities organizations' service capabilities. Here are eight key takeaways from the report ...
The rapid rise of generative AI (GenAI) has caught everyone's attention, leaving many to wonder if the technology's impact will live up to the immense hype. A recent survey by Alteryx provides valuable insights into the current state of GenAI adoption, revealing a shift from inflated expectations to tangible value realization across enterprises ... Here are five key takeaways that underscore GenAI's progression from hype to real-world impact ...
As software development grows more intricate, the challenge for observability engineers tasked with ensuring optimal system performance becomes more daunting. Current methodologies are struggling to keep pace, with the annual Observability Pulse surveys indicating a rise in Mean Time to Remediation (MTTR). According to this survey, only a small fraction of organizations, around 10%, achieve full observability today. Generative AI, however, promises to significantly move the needle ...
While nearly all data leaders surveyed are building generative AI applications, most don't believe their data estate is actually prepared to support them, according to the State of Reliable AI report from Monte Carlo Data ...
Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics ... have been largely overlooked ...
The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty ...
In MEAN TIME TO INSIGHT Episode 8, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AutoCon with the conference founders Scott Robohn and Chris Grundemann ...
Numerous vendors and service providers have recently embraced the NaaS concept, yet there is still no industry consensus on its definition or the types of networks it involves. Furthermore, providers have varied in how they define the NaaS service delivery model. I conducted research for a new report, Network as a Service: Understanding the Cloud Consumption Model in Networking, to refine the concept of NaaS and reduce buyer confusion over what it is and how it can offer value ...
