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IT Infrastructure Plays Key Role in Competitive Advantage

Payal Chakravarty

More than 70 percent of companies recognize that IT infrastructure plays an important role in enabling competitive advantage or optimizing revenue and profit. However, despite this recognition, only 22 percent have a well-defined enterprise IT infrastructure strategy, according to an IBM Institute for Business Value report, Continuing the IT Infrastructure Conversation: Why Building a Strong Foundation Requires More Than Technology.

The report reveals the need for an improved level of collaboration between IT and business leaders, who increasingly have a greater stake in the success of IT infrastructure.

“Today’s IT leaders are responsible for more than overseeing technology breakthroughs, but they are also integral to advising chief executives about the organization’s business strategy,” said Tom Rosamilia, SVP of IBM Systems & Technology Group and IBM Integrated Supply Chain. “With customer experience as a key competitive advantage, never before has the combination and integration of back office and front office strategies been more critical.”

Based on a survey of 750 CTOs, CIOs and other senior technology executives from a variety of industries and company sizes in 18 countries, the new report says that despite the potential for greater preparation to support a new era of workloads, few organizations are working in tandem with their line-of-business leaders on challenges relating to next-generation IT requirements.

The study highlights how today’s IT infrastructure dialogue between business and IT executives is about more than technology – it’s about the future of the business itself. IT organizations need to build stronger relationships with business leaders to capitalize on IT trends for competitive advantage and deliver the capabilities for business success, the report reveals.

However, the research suggests there is opportunity for new IT conversations to evolve. This will require organizations to consider not only future technologies, but also the current corporate culture and management systems that influence organizational decisions.

According to the IBV report, IT organizations can increase the value they provide to the business by repositioning the role of IT as a trusted advisor and a valued service provider, collaborating across the ecosystem and developing the right mix of skills and capabilities to meet changing IT infrastructure needs. The report suggests that organizations also need to rise to the challenge of developing the next generation of IT professionals that have developed new skills beyond traditional technology competencies. Companies should also address changing demographics and new technology requirements.

In 2014, IBM published the results of the first research into the topic of IT infrastructure. In that report, “The IT Infrastructure Conversation,” less than 10 percent of organizations said their existing IT infrastructure is fully prepared to meet the demands of mobile technology, social media, big data and cloud computing.

The earlier report identified two groups: “Strategic IT Connectors,” a small number of leading organizations already working in tandem with their line-of-business leaders on challenges related to the next generation of IT; and “Siloed IT Operators,” those organizations that lack strategic preparedness and connection to the business.

New IBV research reveals that 81 percent of Strategic IT Connectors recognize IT infrastructure plays an important role in enabling competitive advantage. This group is also more prepared to adjust to trends in the marketplace such as cloud, analytics, mobile and social – and more likely to identify themselves as outperforming their industry peers in terms of revenue growth and profitability.

According to the latest report, more than 40 percent of respondents said that business leaders will be involved in making decisions about cloud computing and IT architecture over the next three years. Yet, only 30 percent of organizations effectively collaborate with the business to provide IT infrastructure solutions to support their business needs.

Additionally, only 23 percent of those surveyed believe their organization is successful at collecting, analyzing and documenting performance measures. This lack of information on metrics and measurement makes it difficult to demonstrate the value of IT to an organization.

The new research uncovered that many CIOs recognize that in an environment where IT infrastructure is becoming more critical, their ability to manage the business of IT remains a work in progress. That is because they remain challenged in their ability to support a strategic IT infrastructure agenda.

Payal Chakravarty is Senior Product Manager for IBM Application Performance Management.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.

IT Infrastructure Plays Key Role in Competitive Advantage

Payal Chakravarty

More than 70 percent of companies recognize that IT infrastructure plays an important role in enabling competitive advantage or optimizing revenue and profit. However, despite this recognition, only 22 percent have a well-defined enterprise IT infrastructure strategy, according to an IBM Institute for Business Value report, Continuing the IT Infrastructure Conversation: Why Building a Strong Foundation Requires More Than Technology.

The report reveals the need for an improved level of collaboration between IT and business leaders, who increasingly have a greater stake in the success of IT infrastructure.

“Today’s IT leaders are responsible for more than overseeing technology breakthroughs, but they are also integral to advising chief executives about the organization’s business strategy,” said Tom Rosamilia, SVP of IBM Systems & Technology Group and IBM Integrated Supply Chain. “With customer experience as a key competitive advantage, never before has the combination and integration of back office and front office strategies been more critical.”

Based on a survey of 750 CTOs, CIOs and other senior technology executives from a variety of industries and company sizes in 18 countries, the new report says that despite the potential for greater preparation to support a new era of workloads, few organizations are working in tandem with their line-of-business leaders on challenges relating to next-generation IT requirements.

The study highlights how today’s IT infrastructure dialogue between business and IT executives is about more than technology – it’s about the future of the business itself. IT organizations need to build stronger relationships with business leaders to capitalize on IT trends for competitive advantage and deliver the capabilities for business success, the report reveals.

However, the research suggests there is opportunity for new IT conversations to evolve. This will require organizations to consider not only future technologies, but also the current corporate culture and management systems that influence organizational decisions.

According to the IBV report, IT organizations can increase the value they provide to the business by repositioning the role of IT as a trusted advisor and a valued service provider, collaborating across the ecosystem and developing the right mix of skills and capabilities to meet changing IT infrastructure needs. The report suggests that organizations also need to rise to the challenge of developing the next generation of IT professionals that have developed new skills beyond traditional technology competencies. Companies should also address changing demographics and new technology requirements.

In 2014, IBM published the results of the first research into the topic of IT infrastructure. In that report, “The IT Infrastructure Conversation,” less than 10 percent of organizations said their existing IT infrastructure is fully prepared to meet the demands of mobile technology, social media, big data and cloud computing.

The earlier report identified two groups: “Strategic IT Connectors,” a small number of leading organizations already working in tandem with their line-of-business leaders on challenges related to the next generation of IT; and “Siloed IT Operators,” those organizations that lack strategic preparedness and connection to the business.

New IBV research reveals that 81 percent of Strategic IT Connectors recognize IT infrastructure plays an important role in enabling competitive advantage. This group is also more prepared to adjust to trends in the marketplace such as cloud, analytics, mobile and social – and more likely to identify themselves as outperforming their industry peers in terms of revenue growth and profitability.

According to the latest report, more than 40 percent of respondents said that business leaders will be involved in making decisions about cloud computing and IT architecture over the next three years. Yet, only 30 percent of organizations effectively collaborate with the business to provide IT infrastructure solutions to support their business needs.

Additionally, only 23 percent of those surveyed believe their organization is successful at collecting, analyzing and documenting performance measures. This lack of information on metrics and measurement makes it difficult to demonstrate the value of IT to an organization.

The new research uncovered that many CIOs recognize that in an environment where IT infrastructure is becoming more critical, their ability to manage the business of IT remains a work in progress. That is because they remain challenged in their ability to support a strategic IT infrastructure agenda.

Payal Chakravarty is Senior Product Manager for IBM Application Performance Management.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.