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IT Organizations Prioritize Employee Experience by Investing in Remote Workforces

More than half (60%) of IT organizations are investing in improving employee experience to support remote workforce productivity and performance, according to The Changing Role of the IT Leader study by Elastic.


An adaptive business model with employee experience at its core is the key to building business resilience, creating a sustainable competitive advantage, and scaling effectively in times of disruption. Since the start of the COVID-19 pandemic, the shift to remote and hybrid working models has become a permanent fixture for many global organizations. IT leaders believe that enabling employees to work flexibly will improve the adaptiveness of their organizations and they are investing in technology to improve employee experience and productivity.

"One year into the COVID-19 global pandemic, the data shows it's time for IT leaders to put employee experience at the heart of every technology decision they make," said Kim Huffman, VP, IT, Elastic. "They must quickly and dramatically evolve and accelerate their programs as they work to support their employees and adapt to the next normal and a completely different way of working."

Globally, the partnership between IT and HR is growing stronger, with 57% of IT leaders collaborating more closely with their HR counterparts since the start of the pandemic, as also found in the study. While many IT leaders worldwide have pivoted to an employee-centric approach in their technology decisions, they still face barriers to establish an environment where IT fosters engagement and productivity.

"A deep partnership between HR and IT leaders is crucial when it comes to enhancing employee experience, and that partnership has never been more important than it was over the past year," said Leah Sutton, SVP, Global Human Resources, Elastic. "The combined insight and expertise that both leaders bring ensure that employees aren't bouncing around from IT, to HR, to finance, and more. Rather, employees have a holistic corporate experience that ensures they are supported, informed, and empowered with access to the tools and resources they need to successfully do their jobs."

IT leaders report that 92% of organizations worldwide are in survival or maintenance mode

■ In Asia-Pacific, China (21%) and Japan (16%) are leading with the highest number of enterprises in growth mode, while Australia (78%) has the highest number of enterprises in maintenance mode.

■ In Europe, the Netherlands (64%) and Germany (60%) are struggling most, with the highest number of enterprises in survival mode, and 3 in 5 IT leaders in the surveyed countries said their businesses are fighting to survive.

■ In North America only 7% of enterprises are in growth mode, while three times that number are in survival mode.

60% of IT organizations are investing in improving employee experience to support remote workforce productivity and performance, but don't have access to the budget and tools to do so

■ 63% of organizations are prioritizing a shift to digital business by focusing on democratizing employee access to data by evolving their data architectures to reduce data silos.

■ 57% of IT leaders globally have seen their budgets cut over the past 12 months, with 33% experiencing budget cuts of 10% or more.

■ 60% of IT leaders do not yet have the right tools, policies, and procedures to support a remote workforce.

Methodology: For this study, The Changing Role of the IT Leader (April 2021) — commissioned by Elastic — Forrester Consulting conducted a global online survey of 1,000 CIOs and IT decision-makers and select in-depth interviews with CIOs and IT leaders in Australia, China, France, Germany, India, Japan, the Netherlands, North America, Singapore, and the United Kingdom.

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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 ...

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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 ...

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 ...

IT Organizations Prioritize Employee Experience by Investing in Remote Workforces

More than half (60%) of IT organizations are investing in improving employee experience to support remote workforce productivity and performance, according to The Changing Role of the IT Leader study by Elastic.


An adaptive business model with employee experience at its core is the key to building business resilience, creating a sustainable competitive advantage, and scaling effectively in times of disruption. Since the start of the COVID-19 pandemic, the shift to remote and hybrid working models has become a permanent fixture for many global organizations. IT leaders believe that enabling employees to work flexibly will improve the adaptiveness of their organizations and they are investing in technology to improve employee experience and productivity.

"One year into the COVID-19 global pandemic, the data shows it's time for IT leaders to put employee experience at the heart of every technology decision they make," said Kim Huffman, VP, IT, Elastic. "They must quickly and dramatically evolve and accelerate their programs as they work to support their employees and adapt to the next normal and a completely different way of working."

Globally, the partnership between IT and HR is growing stronger, with 57% of IT leaders collaborating more closely with their HR counterparts since the start of the pandemic, as also found in the study. While many IT leaders worldwide have pivoted to an employee-centric approach in their technology decisions, they still face barriers to establish an environment where IT fosters engagement and productivity.

"A deep partnership between HR and IT leaders is crucial when it comes to enhancing employee experience, and that partnership has never been more important than it was over the past year," said Leah Sutton, SVP, Global Human Resources, Elastic. "The combined insight and expertise that both leaders bring ensure that employees aren't bouncing around from IT, to HR, to finance, and more. Rather, employees have a holistic corporate experience that ensures they are supported, informed, and empowered with access to the tools and resources they need to successfully do their jobs."

IT leaders report that 92% of organizations worldwide are in survival or maintenance mode

■ In Asia-Pacific, China (21%) and Japan (16%) are leading with the highest number of enterprises in growth mode, while Australia (78%) has the highest number of enterprises in maintenance mode.

■ In Europe, the Netherlands (64%) and Germany (60%) are struggling most, with the highest number of enterprises in survival mode, and 3 in 5 IT leaders in the surveyed countries said their businesses are fighting to survive.

■ In North America only 7% of enterprises are in growth mode, while three times that number are in survival mode.

60% of IT organizations are investing in improving employee experience to support remote workforce productivity and performance, but don't have access to the budget and tools to do so

■ 63% of organizations are prioritizing a shift to digital business by focusing on democratizing employee access to data by evolving their data architectures to reduce data silos.

■ 57% of IT leaders globally have seen their budgets cut over the past 12 months, with 33% experiencing budget cuts of 10% or more.

■ 60% of IT leaders do not yet have the right tools, policies, and procedures to support a remote workforce.

Methodology: For this study, The Changing Role of the IT Leader (April 2021) — commissioned by Elastic — Forrester Consulting conducted a global online survey of 1,000 CIOs and IT decision-makers and select in-depth interviews with CIOs and IT leaders in Australia, China, France, Germany, India, Japan, the Netherlands, North America, Singapore, and the United Kingdom.

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 ...