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Gartner: I&O Skills Gap Will Cause 75 Percent of Organizations to Experience Visible Business Disruptions by 2020

Two-thirds of organizations are not adequately addressing the infrastructure and operations (I&O) skills gaps that will impede their digital business initiatives, according to Gartner, Inc. Successful I&O organizations will need to implement vastly different roles and technologies during the next five years.

Gartner forecasts that, by 2019, IT technical specialist hires will fall by more than 5 percent. Moreover, by 2021, 40 percent of IT staff will hold multiple roles, most of which will be business-related rather than technology-related.

"What made I&O leaders successful in the past is not what will make them thrive in the future," said Hank Marquis, Research Director at Gartner. "Instead of focusing on the 'what' of I&O jobs — such as technical knowledge, education and training — I&O leaders need to shift their focus to the 'how' — the behavioral competencies required."

According to Mr. Marquis, IT operations organizations are being forced to redefine their roles and value propositions from those of technology providers, to become trusted advisors and differentiated business partners. The challenge is that most I&O professionals do not yet have the broad skillsets that organizations will need from them.

Gartner predicts that, by 2020, 75 percent of organizations will experience visible business disruptions due to I&O skills gaps, which is an increase from less than 20 percent in 2016. Given the lack of digital dexterity for hire, I&O leaders must begin by developing these skills with the talent they already have. Most companies don't have an accurate inventory of the available skills of their current IT workforces, so this must be a first step.

"Corporate digital business universities will eventually emerge to close the skills gap. Experience-based career paths with formal mentoring for and within I&O will become standard for individual development," said Marquis. "In the meantime, I&O leaders should work hand-in-hand with HR to shift away from position-based development, develop a tactical skills gap analysis, and utilize tools and methods for improving I&O skills in-house."

Skills Gaps Occur Around Emerging Technology, as Well as Management

"The key to delivering digital value at scale is having the right people," said Marquis. "As well as the required skills, people must have the desire and aptitude to exploit existing and emerging technologies." Gartner predicts that, through 2020, 99 percent of artificial intelligence (AI) initiatives in IT service management will fail, due to the lack of an established knowledge management (KM) foundation.

"Hype about AI is growing, as consumers become familiar with virtual assistants using conversational platforms," said Chris Matchett, Principal Research Analyst at Gartner. "I&O leaders responsible for the IT service desk are looking to exploit this to optimize IT support, but neither the technology nor the workplace is really ready to depend on virtual agents."

KM is essential for a chatbot or virtual support agent (VSA) to provide answers to business consumers, but the response can only repeat scripted solutions when based on existing data from a static knowledge base. VSAs without access to this rich source of knowledge cannot provide intelligent responses, forcing I&O leaders to establish or improve KM initiatives.

Before implementing chatbot or VSA technology, Gartner recommends establishing a foundation in KM by using techniques such as knowledge-centered service that focus on knowledge as a key asset.

Once chatbots and VSAs are in use, care should be taken to avoid conversational dead ends by automating escalation to traditional channels when knowledge responses fail to satisfy the issue. Logic should also be embedded into the chatbot to collect user feedback and identify the relevance of knowledge responses.

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Gartner: I&O Skills Gap Will Cause 75 Percent of Organizations to Experience Visible Business Disruptions by 2020

Two-thirds of organizations are not adequately addressing the infrastructure and operations (I&O) skills gaps that will impede their digital business initiatives, according to Gartner, Inc. Successful I&O organizations will need to implement vastly different roles and technologies during the next five years.

Gartner forecasts that, by 2019, IT technical specialist hires will fall by more than 5 percent. Moreover, by 2021, 40 percent of IT staff will hold multiple roles, most of which will be business-related rather than technology-related.

"What made I&O leaders successful in the past is not what will make them thrive in the future," said Hank Marquis, Research Director at Gartner. "Instead of focusing on the 'what' of I&O jobs — such as technical knowledge, education and training — I&O leaders need to shift their focus to the 'how' — the behavioral competencies required."

According to Mr. Marquis, IT operations organizations are being forced to redefine their roles and value propositions from those of technology providers, to become trusted advisors and differentiated business partners. The challenge is that most I&O professionals do not yet have the broad skillsets that organizations will need from them.

Gartner predicts that, by 2020, 75 percent of organizations will experience visible business disruptions due to I&O skills gaps, which is an increase from less than 20 percent in 2016. Given the lack of digital dexterity for hire, I&O leaders must begin by developing these skills with the talent they already have. Most companies don't have an accurate inventory of the available skills of their current IT workforces, so this must be a first step.

"Corporate digital business universities will eventually emerge to close the skills gap. Experience-based career paths with formal mentoring for and within I&O will become standard for individual development," said Marquis. "In the meantime, I&O leaders should work hand-in-hand with HR to shift away from position-based development, develop a tactical skills gap analysis, and utilize tools and methods for improving I&O skills in-house."

Skills Gaps Occur Around Emerging Technology, as Well as Management

"The key to delivering digital value at scale is having the right people," said Marquis. "As well as the required skills, people must have the desire and aptitude to exploit existing and emerging technologies." Gartner predicts that, through 2020, 99 percent of artificial intelligence (AI) initiatives in IT service management will fail, due to the lack of an established knowledge management (KM) foundation.

"Hype about AI is growing, as consumers become familiar with virtual assistants using conversational platforms," said Chris Matchett, Principal Research Analyst at Gartner. "I&O leaders responsible for the IT service desk are looking to exploit this to optimize IT support, but neither the technology nor the workplace is really ready to depend on virtual agents."

KM is essential for a chatbot or virtual support agent (VSA) to provide answers to business consumers, but the response can only repeat scripted solutions when based on existing data from a static knowledge base. VSAs without access to this rich source of knowledge cannot provide intelligent responses, forcing I&O leaders to establish or improve KM initiatives.

Before implementing chatbot or VSA technology, Gartner recommends establishing a foundation in KM by using techniques such as knowledge-centered service that focus on knowledge as a key asset.

Once chatbots and VSAs are in use, care should be taken to avoid conversational dead ends by automating escalation to traditional channels when knowledge responses fail to satisfy the issue. Logic should also be embedded into the chatbot to collect user feedback and identify the relevance of knowledge responses.

Hot Topics

The Latest

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...