Skip to main content

Business Decisions: The Evolving Role of the Modern IT Professional

Suaad Sait

Increasing infrastructure complexity has affected the role of nearly all IT professionals, creating the need for new skillsets, including the ability to help companies make informed, strategic business decisions, according to the SolarWinds New IT Survey, which sheds light on the evolving role of the modern IT professional in today’s technology-driven business environment.

While most IT professionals are at least some degree confident in their ability to provide such advice, more preparation is needed to feel completely confident.

The days of IT's limited impact on business are long gone, replaced by the modern era of almost complete reliance on technology and the incredibly complex infrastructure it brings with it. Something as simple as an incorrect server configuration can lead to loss of access to cloud-based applications and data, email server outages and ecommerce site shutdowns.

These and other IT issues can have tremendous negative impact on productivity and revenue generation. As a result, more businesses are starting to recognize that behind their success are teams of IT heroes that need to be involved in business-level decisions. Likewise, IT professionals need to be prepared to take on this new role.

Survey Findings:

Technology's rise in importance as a core business component may have only been outpaced by the complexity it created. This increasing infrastructure complexity has affected the role of nearly all IT professionals.

- Over half of all IT departments now manage virtualization, mobility, compliance, data analytics, SDN/virtual networks, BYOx, cloud computing and self-service automation

- 52% of respondents said increasing complexity has greatly affected their responsibilities over the past 3-5 years, and an additional 42% said it has somewhat affected their role

Foremost among the results of this evolution, modern IT professionals are now expected and must be prepared to help their companies make informed, strategic business decisions with regard to emerging technologies.

- 99% of respondents said they are given the opportunity to at least occasionally provide guidance and expertise necessary to help their companies make such decisions

- While 95% of survey-takers said they feel at least somewhat confident in their ability to provide such advice, only one-third of those are completely confident doing so

- To feel more empowered to provide such advice, slightly more than half of respondents said they need more training in their area(s) of responsibility, and nearly 40% said they need a better understanding of their companies’ overall business

In addition, this evolution of IT and the increasing infrastructure complexity behind it have also resulted in the need for new technology and IT skillsets to effectively manage networks and systems.

- More than 50% of those surveyed said information security and cloud computing top the list of IT skillsets that will grow in demand over the next 3-5 years, followed by virtualization

- Respondents said information security is the IT role that will need to adapt the most to evolving technology over the next 3-5 years

- Cloud computing ranked as the most important technology for businesses to invest in today to remain competitive for the next 3-5 years, followed closely by mobility, virtualization (server or desktop), data analytics and BYOx, respectively

The survey was conducted from November 12-18, 2013, resulting in 298 survey responses from IT practitioners, managers and directors in the US and Canada from public- and private-sector small, mid-size and enterprise companies.

Suaad Sait is EVP Products and Markets at SolarWinds.

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 ...

Business Decisions: The Evolving Role of the Modern IT Professional

Suaad Sait

Increasing infrastructure complexity has affected the role of nearly all IT professionals, creating the need for new skillsets, including the ability to help companies make informed, strategic business decisions, according to the SolarWinds New IT Survey, which sheds light on the evolving role of the modern IT professional in today’s technology-driven business environment.

While most IT professionals are at least some degree confident in their ability to provide such advice, more preparation is needed to feel completely confident.

The days of IT's limited impact on business are long gone, replaced by the modern era of almost complete reliance on technology and the incredibly complex infrastructure it brings with it. Something as simple as an incorrect server configuration can lead to loss of access to cloud-based applications and data, email server outages and ecommerce site shutdowns.

These and other IT issues can have tremendous negative impact on productivity and revenue generation. As a result, more businesses are starting to recognize that behind their success are teams of IT heroes that need to be involved in business-level decisions. Likewise, IT professionals need to be prepared to take on this new role.

Survey Findings:

Technology's rise in importance as a core business component may have only been outpaced by the complexity it created. This increasing infrastructure complexity has affected the role of nearly all IT professionals.

- Over half of all IT departments now manage virtualization, mobility, compliance, data analytics, SDN/virtual networks, BYOx, cloud computing and self-service automation

- 52% of respondents said increasing complexity has greatly affected their responsibilities over the past 3-5 years, and an additional 42% said it has somewhat affected their role

Foremost among the results of this evolution, modern IT professionals are now expected and must be prepared to help their companies make informed, strategic business decisions with regard to emerging technologies.

- 99% of respondents said they are given the opportunity to at least occasionally provide guidance and expertise necessary to help their companies make such decisions

- While 95% of survey-takers said they feel at least somewhat confident in their ability to provide such advice, only one-third of those are completely confident doing so

- To feel more empowered to provide such advice, slightly more than half of respondents said they need more training in their area(s) of responsibility, and nearly 40% said they need a better understanding of their companies’ overall business

In addition, this evolution of IT and the increasing infrastructure complexity behind it have also resulted in the need for new technology and IT skillsets to effectively manage networks and systems.

- More than 50% of those surveyed said information security and cloud computing top the list of IT skillsets that will grow in demand over the next 3-5 years, followed by virtualization

- Respondents said information security is the IT role that will need to adapt the most to evolving technology over the next 3-5 years

- Cloud computing ranked as the most important technology for businesses to invest in today to remain competitive for the next 3-5 years, followed closely by mobility, virtualization (server or desktop), data analytics and BYOx, respectively

The survey was conducted from November 12-18, 2013, resulting in 298 survey responses from IT practitioners, managers and directors in the US and Canada from public- and private-sector small, mid-size and enterprise companies.

Suaad Sait is EVP Products and Markets at SolarWinds.

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 ...