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How Organizations are Evolving to Support Remote Work (Forever!)

Amitabh Sinha
Workspot

The workplace landscape has been evolving for many years as workforces have become more mobile. In 2020, however, workstyles changed drastically as the COVID pandemic took hold. Employees abruptly vacated offices and companies had to find a way to support working from home. Often this entailed extending the use of already sub-optimal virtual desktop solutions and VPNs as IT teams struggled to accommodate CDC directives. This often meant making do with remote access technology that had really only been used for about 20% of their workforce. Suddenly, 100% of employees needed to work remotely and there was no time to rethink IT strategy.

Fast forward to today, and hybrid work models have become mainstream. IT teams are taking the time to review their technology stacks as they prepare for supporting "anywhere-productivity" for the long term. To meet this challenge, enterprises seek an easy-to-manage end user computing model that provides employees secure, seamless access to applications and data while strengthening security, improving agility, and delivering an excellent user experience.

It's clear that expansive remote workforces will be the new norm moving forward. Why? The theorized benefits of remote work have now been validated by first-hand experience. From the pleasant surprise of productivity lift to attracting and retaining talent, as well as having the ability to pursue new revenue opportunities beyond prior geographical boundaries, remote work benefits are real and compelling for driving business growth.


A recent report by Workspot, State of End-User Computing and Remote Work highlights the consequences of the shift to remote and hybrid workstyles and how IT leaders are responding. Most companies have accelerated adoption of cloud solutions to fight on-premises infrastructure and application complexity, affording them more flexibility to respond to rapidly changing business conditions. The report provides insights into three key areas and highlights the steps IT leaders are taking to mitigate risk and future proof their business.

1. Remote work accelerated cloud and SaaS adoption

Because of the flexibility and agility benefits of cloud computing it comes as no surprise that remote work drove increased cloud adoption with 35% of enterprises expanding the scope of their strategies and 47% accelerating timelines in their established strategy. But what has been the result of this acceleration?

With everyone setting up their home offices, one of the biggest concerns among IT and business leaders was productivity. Against the — now — misconception that employees would be easily distracted and simply not work, 71% of leaders now believe remote work increased workforce productivity.

Among the benefits of SaaS and cloud, 65% of respondents highlighted scalability, reduced requirements for on-prem investments, improved business continuity and reliability as top of mind. In particular, Cloud PCs confer these benefits to the business by transforming complicated, outdated physical PCs and virtual desktop infrastructure into an IT "utility" in which desktops are delivered to end users as an always-available cloud service. Cloud PCs offer just-in-time scalability, enabling on-demand compute resources while simplifying IT. End users enjoy outstanding performance wherever they are working, fueling productivity and job satisfaction. Supporting remote work opportunities not only creates a worldwide talent pool, with 76% of responders viewing remote work as "significantly helpful" in recruiting and retaining talent.

2. Support of remote workers creates new security challenges for IT

Along with ensuring their digital strategies are future proofed, companies also need to make sure end user computing is secure. When people worked in an office, the security perimeter was largely contained. Sending people home to work and supporting work-from-anywhere long term means that the security perimeter can include thousands of home offices, hotels, customer job sites and more. Securing endpoints can no longer be a primary strategy.

Indeed, 54% of survey respondents reported that securing user devices outside the corporate firewall is difficult, and 67% reported that this expanded security perimeter requires adopting new tools and strategies. All industries reported that they found securing work environments for remote employees to be more difficult; however, financial services and insurance stakeholders (82%) stated it was the hardest compared to those respondents coming from manufacturing (79%), healthcare (72%), and software (63%).

So, given the responses, how did remote work affect the security infrastructure of organizations? The data indicates that well over half (60%) were able to make the necessary investments to address security concerns around remote work, and 22% of respondents reported that their organization's security actually improved. At the same time, 92% of respondents reported that security budgets would increase, indicating that there is more work to do.

3. DaaS and Cloud-based Desktop Adoption is Growing

Despite an expected increase in IT budgets, only 30% of respondents reported they have all the resources they need to enable remote work. More specifically, 76% of those who relied on Desktop-as-a-Service (DaaS) and other cloud-based virtual desktops viewed them as effective in supporting the transition to remote work. 61% of overall respondents believe DaaS and Cloud PCs will be beneficial for increasing remote work productivity.

Considering the unique scalability, security, flexibility and performance benefits of today's modern Cloud PC solutions, the opportunity for IT decision makers to navigate an uncertain business environment with a transformed end user computing model is promising. It is abundantly clear that remote work is here to stay, and 93% of end user computing stakeholders agree that the cloud is critical to their ability to support it.

With the newfound agility and security that cloud computing brings, IT teams can lead their organizations into the future with confidence.

Amitabh Sinha is CEO and Co-Founder of Workspot

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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 ...

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 ...

How Organizations are Evolving to Support Remote Work (Forever!)

Amitabh Sinha
Workspot

The workplace landscape has been evolving for many years as workforces have become more mobile. In 2020, however, workstyles changed drastically as the COVID pandemic took hold. Employees abruptly vacated offices and companies had to find a way to support working from home. Often this entailed extending the use of already sub-optimal virtual desktop solutions and VPNs as IT teams struggled to accommodate CDC directives. This often meant making do with remote access technology that had really only been used for about 20% of their workforce. Suddenly, 100% of employees needed to work remotely and there was no time to rethink IT strategy.

Fast forward to today, and hybrid work models have become mainstream. IT teams are taking the time to review their technology stacks as they prepare for supporting "anywhere-productivity" for the long term. To meet this challenge, enterprises seek an easy-to-manage end user computing model that provides employees secure, seamless access to applications and data while strengthening security, improving agility, and delivering an excellent user experience.

It's clear that expansive remote workforces will be the new norm moving forward. Why? The theorized benefits of remote work have now been validated by first-hand experience. From the pleasant surprise of productivity lift to attracting and retaining talent, as well as having the ability to pursue new revenue opportunities beyond prior geographical boundaries, remote work benefits are real and compelling for driving business growth.


A recent report by Workspot, State of End-User Computing and Remote Work highlights the consequences of the shift to remote and hybrid workstyles and how IT leaders are responding. Most companies have accelerated adoption of cloud solutions to fight on-premises infrastructure and application complexity, affording them more flexibility to respond to rapidly changing business conditions. The report provides insights into three key areas and highlights the steps IT leaders are taking to mitigate risk and future proof their business.

1. Remote work accelerated cloud and SaaS adoption

Because of the flexibility and agility benefits of cloud computing it comes as no surprise that remote work drove increased cloud adoption with 35% of enterprises expanding the scope of their strategies and 47% accelerating timelines in their established strategy. But what has been the result of this acceleration?

With everyone setting up their home offices, one of the biggest concerns among IT and business leaders was productivity. Against the — now — misconception that employees would be easily distracted and simply not work, 71% of leaders now believe remote work increased workforce productivity.

Among the benefits of SaaS and cloud, 65% of respondents highlighted scalability, reduced requirements for on-prem investments, improved business continuity and reliability as top of mind. In particular, Cloud PCs confer these benefits to the business by transforming complicated, outdated physical PCs and virtual desktop infrastructure into an IT "utility" in which desktops are delivered to end users as an always-available cloud service. Cloud PCs offer just-in-time scalability, enabling on-demand compute resources while simplifying IT. End users enjoy outstanding performance wherever they are working, fueling productivity and job satisfaction. Supporting remote work opportunities not only creates a worldwide talent pool, with 76% of responders viewing remote work as "significantly helpful" in recruiting and retaining talent.

2. Support of remote workers creates new security challenges for IT

Along with ensuring their digital strategies are future proofed, companies also need to make sure end user computing is secure. When people worked in an office, the security perimeter was largely contained. Sending people home to work and supporting work-from-anywhere long term means that the security perimeter can include thousands of home offices, hotels, customer job sites and more. Securing endpoints can no longer be a primary strategy.

Indeed, 54% of survey respondents reported that securing user devices outside the corporate firewall is difficult, and 67% reported that this expanded security perimeter requires adopting new tools and strategies. All industries reported that they found securing work environments for remote employees to be more difficult; however, financial services and insurance stakeholders (82%) stated it was the hardest compared to those respondents coming from manufacturing (79%), healthcare (72%), and software (63%).

So, given the responses, how did remote work affect the security infrastructure of organizations? The data indicates that well over half (60%) were able to make the necessary investments to address security concerns around remote work, and 22% of respondents reported that their organization's security actually improved. At the same time, 92% of respondents reported that security budgets would increase, indicating that there is more work to do.

3. DaaS and Cloud-based Desktop Adoption is Growing

Despite an expected increase in IT budgets, only 30% of respondents reported they have all the resources they need to enable remote work. More specifically, 76% of those who relied on Desktop-as-a-Service (DaaS) and other cloud-based virtual desktops viewed them as effective in supporting the transition to remote work. 61% of overall respondents believe DaaS and Cloud PCs will be beneficial for increasing remote work productivity.

Considering the unique scalability, security, flexibility and performance benefits of today's modern Cloud PC solutions, the opportunity for IT decision makers to navigate an uncertain business environment with a transformed end user computing model is promising. It is abundantly clear that remote work is here to stay, and 93% of end user computing stakeholders agree that the cloud is critical to their ability to support it.

With the newfound agility and security that cloud computing brings, IT teams can lead their organizations into the future with confidence.

Amitabh Sinha is CEO and Co-Founder of Workspot

Hot Topics

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 ...