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The Future of Work, Enabled by the Democratization of IT

Rajesh Ganesan
ManageEngine

After the pandemic caused remote work to become the norm for many organizations, IT personnel were propelled onto the front lines. The businesses that survived — and, in many cases, thrived — were able to do so because of their IT departments. As organizations slowly begin to emerge from the pandemic, it's an apt time to take an assessment of the future of work. The future of work will be led by democratized IT, whereby employees work in a distributed, asynchronous manner, accessing the requisite tools wherever and whenever they need. Enabled by the democratization of IT, this work will be (1) self-organizing, (2) high velocity, and (3) digitally dexterous. Let's discuss each of these attributes in turn.

1. Self-Organizing Work

Historically, organizations adhered to traditional organizational charts and formal hierarchies. Generally speaking, employees worked onsite, were assigned to a team, and were given a well-defined scope of work. Things really have changed. Now, hybrid and remote workers organize themselves and expand the scope of their own work, often without centralized oversight. As a quick example, a team working remotely may not have a dedicated human resources representative, so a team member may take the reins, supplementing his or her core tasks with the requisite HR duties.

2. High Velocity Work

No longer do employees have to concern themselves with long commute times; nor do they have to follow strict 9am - 5pm schedules or act busy when their bosses approach. Given the nature of hybrid and remote work, work times and location are increasingly irrelevant; now, outcomes and deliverables rule the day. Seeing as employees can work wherever and whenever they want, they will most often choose the unique times and places that allow them to complete their tasks most efficiently. Liberated from arbitrary work confines that would otherwise slow them down, employees now operate at accelerated speeds. Moreover, and perhaps best of all, not only does their work get completed faster, but employees also have more time to pursue hobbies and interests outside of work as well.

3. Digitally Dexterous Work

Most hybrid workers are doing remote-first, and digitally dexterous, work. Moving forward, IT personnel will need to continue to provide employees with frictionless security and decentralized technologies that allow employees to work from different devices, times, and locations. We are already seeing this highly digital landscape thrive, and workforces will only become more digitally dexterous in the future — especially as the general population grows more tech-savvy and younger demographics enter the workforce. We've seen that workers are becoming increasingly comfortable with AI, chatbots, and other technologies that automate routine processes.

The Democratization of IT

IT personnel are vital to every company's success, and they lead organization-wide transformations. Moreover, the future of work is enabled by the democratization of IT. That said, exactly what is meant by the democratization of IT? Essentially, it means that IT personnel are cross-functional, as they handle security, operations, and desktop support, among other disciplines. Additionally, IT processes intermix with traditional business processes, enabling automated workflows that span across departments. Also, using analytics, IT personnel work to monitor and foster the overall experiences of customers and employees. Democratized IT describes IT personnel who embrace this new decentralized, remote, and frequently autonomous nature of work, while simultaneously keeping their corporate networks safe. It is not hyperbole to say that the future of work is dependent upon the democratization of IT. And, for the foreseeable future, work will continue to be self-organizing, high velocity, and digitally dexterous.

Rajesh Ganesan is President of ManageEngine

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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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The Future of Work, Enabled by the Democratization of IT

Rajesh Ganesan
ManageEngine

After the pandemic caused remote work to become the norm for many organizations, IT personnel were propelled onto the front lines. The businesses that survived — and, in many cases, thrived — were able to do so because of their IT departments. As organizations slowly begin to emerge from the pandemic, it's an apt time to take an assessment of the future of work. The future of work will be led by democratized IT, whereby employees work in a distributed, asynchronous manner, accessing the requisite tools wherever and whenever they need. Enabled by the democratization of IT, this work will be (1) self-organizing, (2) high velocity, and (3) digitally dexterous. Let's discuss each of these attributes in turn.

1. Self-Organizing Work

Historically, organizations adhered to traditional organizational charts and formal hierarchies. Generally speaking, employees worked onsite, were assigned to a team, and were given a well-defined scope of work. Things really have changed. Now, hybrid and remote workers organize themselves and expand the scope of their own work, often without centralized oversight. As a quick example, a team working remotely may not have a dedicated human resources representative, so a team member may take the reins, supplementing his or her core tasks with the requisite HR duties.

2. High Velocity Work

No longer do employees have to concern themselves with long commute times; nor do they have to follow strict 9am - 5pm schedules or act busy when their bosses approach. Given the nature of hybrid and remote work, work times and location are increasingly irrelevant; now, outcomes and deliverables rule the day. Seeing as employees can work wherever and whenever they want, they will most often choose the unique times and places that allow them to complete their tasks most efficiently. Liberated from arbitrary work confines that would otherwise slow them down, employees now operate at accelerated speeds. Moreover, and perhaps best of all, not only does their work get completed faster, but employees also have more time to pursue hobbies and interests outside of work as well.

3. Digitally Dexterous Work

Most hybrid workers are doing remote-first, and digitally dexterous, work. Moving forward, IT personnel will need to continue to provide employees with frictionless security and decentralized technologies that allow employees to work from different devices, times, and locations. We are already seeing this highly digital landscape thrive, and workforces will only become more digitally dexterous in the future — especially as the general population grows more tech-savvy and younger demographics enter the workforce. We've seen that workers are becoming increasingly comfortable with AI, chatbots, and other technologies that automate routine processes.

The Democratization of IT

IT personnel are vital to every company's success, and they lead organization-wide transformations. Moreover, the future of work is enabled by the democratization of IT. That said, exactly what is meant by the democratization of IT? Essentially, it means that IT personnel are cross-functional, as they handle security, operations, and desktop support, among other disciplines. Additionally, IT processes intermix with traditional business processes, enabling automated workflows that span across departments. Also, using analytics, IT personnel work to monitor and foster the overall experiences of customers and employees. Democratized IT describes IT personnel who embrace this new decentralized, remote, and frequently autonomous nature of work, while simultaneously keeping their corporate networks safe. It is not hyperbole to say that the future of work is dependent upon the democratization of IT. And, for the foreseeable future, work will continue to be self-organizing, high velocity, and digitally dexterous.

Rajesh Ganesan is President of ManageEngine

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 ...