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Gartner: CIOs Will Be as Responsible for Culture Change as Chief HR Officers

Successful Digital Transformation Initiatives Must Be Accompanied by Culture Changes

In an era of continuous change, a proactive and adaptive culture is a critical asset and CIOs will play a key role in establishing the right mindsets and practices. Gartner predicts that by 2021, CIOs will be as responsible for culture change as chief HR officers (CHROs).

“A lot of CIOs have realized that culture can be an accelerator of digital transformation and that they have the means to reinforce a desired culture through their technology choices,” said Elise Olding, Research VP at Gartner. “A partnership with the CHRO is the perfect way to align technology selections and design processes to shape the desired work behaviors.”

The mission and values of an organization usually fall into the remit of HR. The partnership between IT and HR can shed light on how IT can make technology and process design decisions that foster the intention of the desired organizational culture. Enterprise architecture can adopt principles that align to the cultural traits, and when business analysts design processes they can create them with the intended traits in mind. Hence, IT supports the way an organization behaves in cooperation with HR.

However, culture change is a process. This means that there will be barriers to digital initiatives — in peoples’ mindsets and practices. “A great way to jump-start culture change and enable adoption of new technologies and processes is the culture hack. Start with a small, motivated user group and use it to showcase fast wins and results,” Olding said.

Other culture predictions from Gartner include:

By 2021, 80 Percent of Midsize to Large Enterprises Will Change Their Culture as a Way to Accelerate Their Digital Transformation Strategy

A recent Gartner survey found that 67 percent of organizations have already completed culture change initiatives or were in the process of doing so. The reason for many of those initiatives was that the current culture has been identified as a barrier to digital transformation.

“In 50 percent of cases, transformational initiatives are clear failures and CIOs report that the main barrier is culture,” said Christie Struckman, research vice president at Gartner. “The logical conclusion is that CIOs should start with culture change when they embark on digital transformation, not wait to address it later.”

Through 2022, 75 Percent of Organizations With Frontline Decision-Making Teams Reflecting Diversity and an Inclusive Culture Will Exceed Their Financial Targets

Organizations today need better decisions made fast, ideally at the front line. To achieve this objective, teams must consist of multidisciplinary, diverse members with the autonomy and accountability to act and to realize financial targets. Diversity & inclusion (D&I) is critical for the success of those teams.

“D&I initiatives will only contribute to business results if they are scaled properly and actually reach frontline employees,” said John Kostoulas, Senior Research Director at Gartner. “Enterprises often overlook extending D&I programs, such as unconscious bias training, to frontline employees. Numerous technologies can enhance the scale and effectiveness of D&I programs, such as by diagnosing the current state of inclusion, developing leaders who foster inclusion and embedding inclusion into daily business execution.”

D&I initiatives are an area where CIOs and CHROs can cooperate easily and effectively. For example, CIOs can champion empowerment behaviors, as they already gained a lot of experience with agile development and product teams working together. The IT department must partner with HR to set up programs for monitoring, measuring and enhancing inclusion. “It’s worth the investment. Gartner research shows that inclusion can improve performance by over 30 percent in diverse teams,” Kostoulas said.

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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 ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Gartner: CIOs Will Be as Responsible for Culture Change as Chief HR Officers

Successful Digital Transformation Initiatives Must Be Accompanied by Culture Changes

In an era of continuous change, a proactive and adaptive culture is a critical asset and CIOs will play a key role in establishing the right mindsets and practices. Gartner predicts that by 2021, CIOs will be as responsible for culture change as chief HR officers (CHROs).

“A lot of CIOs have realized that culture can be an accelerator of digital transformation and that they have the means to reinforce a desired culture through their technology choices,” said Elise Olding, Research VP at Gartner. “A partnership with the CHRO is the perfect way to align technology selections and design processes to shape the desired work behaviors.”

The mission and values of an organization usually fall into the remit of HR. The partnership between IT and HR can shed light on how IT can make technology and process design decisions that foster the intention of the desired organizational culture. Enterprise architecture can adopt principles that align to the cultural traits, and when business analysts design processes they can create them with the intended traits in mind. Hence, IT supports the way an organization behaves in cooperation with HR.

However, culture change is a process. This means that there will be barriers to digital initiatives — in peoples’ mindsets and practices. “A great way to jump-start culture change and enable adoption of new technologies and processes is the culture hack. Start with a small, motivated user group and use it to showcase fast wins and results,” Olding said.

Other culture predictions from Gartner include:

By 2021, 80 Percent of Midsize to Large Enterprises Will Change Their Culture as a Way to Accelerate Their Digital Transformation Strategy

A recent Gartner survey found that 67 percent of organizations have already completed culture change initiatives or were in the process of doing so. The reason for many of those initiatives was that the current culture has been identified as a barrier to digital transformation.

“In 50 percent of cases, transformational initiatives are clear failures and CIOs report that the main barrier is culture,” said Christie Struckman, research vice president at Gartner. “The logical conclusion is that CIOs should start with culture change when they embark on digital transformation, not wait to address it later.”

Through 2022, 75 Percent of Organizations With Frontline Decision-Making Teams Reflecting Diversity and an Inclusive Culture Will Exceed Their Financial Targets

Organizations today need better decisions made fast, ideally at the front line. To achieve this objective, teams must consist of multidisciplinary, diverse members with the autonomy and accountability to act and to realize financial targets. Diversity & inclusion (D&I) is critical for the success of those teams.

“D&I initiatives will only contribute to business results if they are scaled properly and actually reach frontline employees,” said John Kostoulas, Senior Research Director at Gartner. “Enterprises often overlook extending D&I programs, such as unconscious bias training, to frontline employees. Numerous technologies can enhance the scale and effectiveness of D&I programs, such as by diagnosing the current state of inclusion, developing leaders who foster inclusion and embedding inclusion into daily business execution.”

D&I initiatives are an area where CIOs and CHROs can cooperate easily and effectively. For example, CIOs can champion empowerment behaviors, as they already gained a lot of experience with agile development and product teams working together. The IT department must partner with HR to set up programs for monitoring, measuring and enhancing inclusion. “It’s worth the investment. Gartner research shows that inclusion can improve performance by over 30 percent in diverse teams,” Kostoulas said.

The Latest

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 ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...