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Modernizing the Digital Workplace

The rapid migration to work-from-home (WFH) during the COVID-19 pandemic made it harder, more complex and costly to deliver, support and secure digital workspaces, while at the same time creating new opportunities to turn disruption into transformation, today and in the future, according to a study authored by Freeform Dynamics, sponsored by Liquidware and IGEL.

Key findings from the report, Modernizing the Digital Workplace, confirm that the short-term success of the switch to WFH came with longer-term costs — technical and governance debts that must now be repaid. Yet, IT departments that choose to adopt modern desktop delivery models and platforms are more likely to see better outcomes in areas such as user satisfaction, cost of ownership, manageability, and security.

Need to Act Quickly Drove Most WFH Transitions

According to the report, the COVID-19 pandemic created a ground swirl of activity for enabling WFH that was significantly influenced by the following factors:

■ The need to act very quickly to keep the business running — 80%

■ Pressure to keep additional costs and overheads to a minimum — 73%

■ Supplier shortages of equipment limiting options — 72%

■ Need to minimize end user training requirements — 72%

■ Keep things as simple and supportable as possible — 70%

■ Short-term pragmatics trumping long-term strategy — 68%

Organizations Are Adopting or Planning Modern Desktop Delivery Solutions

The report also explores the different ways organizations delivered digital workspaces to users and what stands in the way of progress today, including technical debt, employee resistance to change and senior managers priorities lying elsewhere.

The vast majority of respondents (>65%) are either considering or are implementing the following tactics to move their end user computing environment forward:

■ Reduce dependency on "fat-client" computing model

■ Automate more of their delivery, monitoring and management activities

■ Adopt platforms designed to support modern desktop/application delivery

"Our research confirms that the rapid shift to hybrid working has left IT teams — and especially desktop admin teams — more over-worked and stressed than ever," stated Bryan Betts, Principal Analyst at Freeform Dynamics. "It also shows that if you carry on trying to do desktop delivery the old way, but in a hybrid world, there are clear risks that you'll see higher costs, increased security challenges, decreased flexibility and agility, and ultimately lower user satisfaction. Fortunately, when we dug into the data, our research also suggests a potential solution: use the hybrid transition and the need to pay back technical debt as an inflection point — as the opportunity to transform and modernize the desktop delivery process. There's a whole raft of ways to do this, such as thinner desktops and automated user management, but essentially they boil down to using modern technologies to build in greater consistency, flexibility, and security."

Methodology: The global online survey of 257 senior IT professionals from a range of industries in Germany, the UK and the United States was sponsored by Liquidware and IGEL and conducted by industry analyst firm Freeform Dynamics.

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Modernizing the Digital Workplace

The rapid migration to work-from-home (WFH) during the COVID-19 pandemic made it harder, more complex and costly to deliver, support and secure digital workspaces, while at the same time creating new opportunities to turn disruption into transformation, today and in the future, according to a study authored by Freeform Dynamics, sponsored by Liquidware and IGEL.

Key findings from the report, Modernizing the Digital Workplace, confirm that the short-term success of the switch to WFH came with longer-term costs — technical and governance debts that must now be repaid. Yet, IT departments that choose to adopt modern desktop delivery models and platforms are more likely to see better outcomes in areas such as user satisfaction, cost of ownership, manageability, and security.

Need to Act Quickly Drove Most WFH Transitions

According to the report, the COVID-19 pandemic created a ground swirl of activity for enabling WFH that was significantly influenced by the following factors:

■ The need to act very quickly to keep the business running — 80%

■ Pressure to keep additional costs and overheads to a minimum — 73%

■ Supplier shortages of equipment limiting options — 72%

■ Need to minimize end user training requirements — 72%

■ Keep things as simple and supportable as possible — 70%

■ Short-term pragmatics trumping long-term strategy — 68%

Organizations Are Adopting or Planning Modern Desktop Delivery Solutions

The report also explores the different ways organizations delivered digital workspaces to users and what stands in the way of progress today, including technical debt, employee resistance to change and senior managers priorities lying elsewhere.

The vast majority of respondents (>65%) are either considering or are implementing the following tactics to move their end user computing environment forward:

■ Reduce dependency on "fat-client" computing model

■ Automate more of their delivery, monitoring and management activities

■ Adopt platforms designed to support modern desktop/application delivery

"Our research confirms that the rapid shift to hybrid working has left IT teams — and especially desktop admin teams — more over-worked and stressed than ever," stated Bryan Betts, Principal Analyst at Freeform Dynamics. "It also shows that if you carry on trying to do desktop delivery the old way, but in a hybrid world, there are clear risks that you'll see higher costs, increased security challenges, decreased flexibility and agility, and ultimately lower user satisfaction. Fortunately, when we dug into the data, our research also suggests a potential solution: use the hybrid transition and the need to pay back technical debt as an inflection point — as the opportunity to transform and modernize the desktop delivery process. There's a whole raft of ways to do this, such as thinner desktops and automated user management, but essentially they boil down to using modern technologies to build in greater consistency, flexibility, and security."

Methodology: The global online survey of 257 senior IT professionals from a range of industries in Germany, the UK and the United States was sponsored by Liquidware and IGEL and conducted by industry analyst firm Freeform Dynamics.

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The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...