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Digital Strategic Thinking Key for Executives, Says CA Report

Business leaders must embrace the true value of technology, according to The Future Role of the CIO: Digital Literacy of Senior Executives Report from CA Technologies.

The study reveals that 84 percent of the North American CIOs interviewed believe a lack of digital literacy amongst senior executives could be hampering business growth.

CIOs fear senior-level digital illiteracy is causing a lack of market responsiveness, missed business and investment opportunities, poor competitiveness and slower time to market.

Further, a fifth (22 percent) of the CIOs interviewed believed that the C-suite does not understand the impact of new and emerging technologies.

The report also highlights that 44 percent of CIOs believe senior executives do not understand the potential of IT to grow the business, make processes more efficient, and introduce greater agility and competitiveness.

As a result, it is not surprising that only 43 percent of CIOs globally are involved in the strategic decision making process, impeding the digital strategic thinking of the senior leadership team.

Professor Joe Peppard, Director of the Information Systems Research Centre at Cranfield School of Management, believes senior managers must acknowledge that the value from IT comes not from technology, but from the ability to manage and exploit information. “A lot of organizations just wouldn't be able to survive for very long without their IT systems," says Peppard.

“CIOs are transitioning into the role of brokers of IT services. They will also be orchestrators of decisions concerning the architecture of the enterprise, innovation with IT, compliance and policies, and will have closer involvement with line of business managers in realizing value from their digital strategies,” he continued.

Peppard believes that by working in this way, both the IT organization and the CIO role will evolve and be able to lead discussions and education about how they drive the business forward through IT innovation.

“CIOs are in a good position to become more involved in strategic discussions. This will enable them to demonstrate how a particular digital strategy or project can deliver value, and win the credibility to take it forward,” Peppard concluded.

“We regularly work with CIOs to help ensure they have the tools they need to communicate value effectively to the business,” said John Michelsen, chief technology officer, CA Technologies. “We see CIOs becoming more involved with their business colleagues and communicating the value of technology more effectively.”

“CIOs are much more in tune with their businesses than they were ten or twenty years ago; however, they are fighting the belief that technology can create process efficiencies, but it can never deliver value on its own,” he added.

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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 ...

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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 ...

Digital Strategic Thinking Key for Executives, Says CA Report

Business leaders must embrace the true value of technology, according to The Future Role of the CIO: Digital Literacy of Senior Executives Report from CA Technologies.

The study reveals that 84 percent of the North American CIOs interviewed believe a lack of digital literacy amongst senior executives could be hampering business growth.

CIOs fear senior-level digital illiteracy is causing a lack of market responsiveness, missed business and investment opportunities, poor competitiveness and slower time to market.

Further, a fifth (22 percent) of the CIOs interviewed believed that the C-suite does not understand the impact of new and emerging technologies.

The report also highlights that 44 percent of CIOs believe senior executives do not understand the potential of IT to grow the business, make processes more efficient, and introduce greater agility and competitiveness.

As a result, it is not surprising that only 43 percent of CIOs globally are involved in the strategic decision making process, impeding the digital strategic thinking of the senior leadership team.

Professor Joe Peppard, Director of the Information Systems Research Centre at Cranfield School of Management, believes senior managers must acknowledge that the value from IT comes not from technology, but from the ability to manage and exploit information. “A lot of organizations just wouldn't be able to survive for very long without their IT systems," says Peppard.

“CIOs are transitioning into the role of brokers of IT services. They will also be orchestrators of decisions concerning the architecture of the enterprise, innovation with IT, compliance and policies, and will have closer involvement with line of business managers in realizing value from their digital strategies,” he continued.

Peppard believes that by working in this way, both the IT organization and the CIO role will evolve and be able to lead discussions and education about how they drive the business forward through IT innovation.

“CIOs are in a good position to become more involved in strategic discussions. This will enable them to demonstrate how a particular digital strategy or project can deliver value, and win the credibility to take it forward,” Peppard concluded.

“We regularly work with CIOs to help ensure they have the tools they need to communicate value effectively to the business,” said John Michelsen, chief technology officer, CA Technologies. “We see CIOs becoming more involved with their business colleagues and communicating the value of technology more effectively.”

“CIOs are much more in tune with their businesses than they were ten or twenty years ago; however, they are fighting the belief that technology can create process efficiencies, but it can never deliver value on its own,” he added.

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 ...