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Tech Leaders Unprepared for Future IT Needs

More than half (60%) of IT leaders say their company's IT modernization program is not yet ready for the future, according to a new IBM survey in the US and UK.

Nearly a quarter of CIOs and CTOs surveyed say their company is just starting its IT modernization journey or has yet to begin modernizing, with about a third surveyed saying they are still in the midst of transformation. 380 CIOs and CTOs participated in the survey, recently completed by The State of IT Transformation Study conducted by the Managed Infrastructure Services unit of IBM's Global Technology Services division.

As a result, more than 95% of IT leaders surveyed said they are looking to adopt public, hybrid or private cloud strategies. Of those, many are moving at an aggressive pace — the study reveals that 53% of respondents are aggressively pursuing a public cloud strategy, 48% a hybrid cloud strategy and 45% a private cloud strategy.

"Our clients are looking to accelerate IT modernization by leveraging cloud models — both public and hybrid, data, AI, automation and other key technologies to help shape, scale and manage more effectively massive, complex, global architectures," said Archana Vemulapalli, GM, IBM Infrastructure Services - Offerings and CTO. "In this rapidly changing digital business environment, organizations can bring in the right technology and the right partners to help aggregate, integrate, build and maintain a scalable digital business, while also enforcing effective governance."

The pressures on IT infrastructures brought on by the COVID-19 pandemic have further accelerated the need for cloud infrastructure, professional skills development, and security upgrades, the survey found. More than 60% of technology leaders surveyed say they expect increased demand for cloud infrastructure to be permanent.

Even as IT leaders are feeling increased urgency to accelerate their organizations' transformation, migrating to a multi-cloud environment can present significant challenges to organizations with legacy applications running large data pools.

Adding to this, many surveyed technology leaders are not sure they have the right teams in place. A full 40% of survey respondents do not feel their teams have the right skills to fully meet their IT ambitions, and more than three in four surveyed say they will rely more on trusted partners that can provide managed infrastructure services.

67% of CIOs and CTOs surveyed cite the need for increased infrastructure flexibility as driving the digital transformation, followed by the need for competitive advantage (61%), cost savings (58%), increasing globalization (54%) and meeting client demands (45%).

While the majority — 60% of CIOs and CTOs — surveyed say their company's IT modernization is not yet ready for the future, the study revealed significant differences in the US and UK markets. For example, while approximately 56% of US respondents say they are aggressively moving their IT infrastructure to hybrid cloud, only 38% of respondents in the UK describe their approach as aggressive.

And while 56% of CIOs/CTOs surveyed in the US say their IT infrastructures were completely prepared for the business changes brought on by COVID-19, only 23% of UK managers surveyed felt as prepared.

The Latest

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When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

Tech Leaders Unprepared for Future IT Needs

More than half (60%) of IT leaders say their company's IT modernization program is not yet ready for the future, according to a new IBM survey in the US and UK.

Nearly a quarter of CIOs and CTOs surveyed say their company is just starting its IT modernization journey or has yet to begin modernizing, with about a third surveyed saying they are still in the midst of transformation. 380 CIOs and CTOs participated in the survey, recently completed by The State of IT Transformation Study conducted by the Managed Infrastructure Services unit of IBM's Global Technology Services division.

As a result, more than 95% of IT leaders surveyed said they are looking to adopt public, hybrid or private cloud strategies. Of those, many are moving at an aggressive pace — the study reveals that 53% of respondents are aggressively pursuing a public cloud strategy, 48% a hybrid cloud strategy and 45% a private cloud strategy.

"Our clients are looking to accelerate IT modernization by leveraging cloud models — both public and hybrid, data, AI, automation and other key technologies to help shape, scale and manage more effectively massive, complex, global architectures," said Archana Vemulapalli, GM, IBM Infrastructure Services - Offerings and CTO. "In this rapidly changing digital business environment, organizations can bring in the right technology and the right partners to help aggregate, integrate, build and maintain a scalable digital business, while also enforcing effective governance."

The pressures on IT infrastructures brought on by the COVID-19 pandemic have further accelerated the need for cloud infrastructure, professional skills development, and security upgrades, the survey found. More than 60% of technology leaders surveyed say they expect increased demand for cloud infrastructure to be permanent.

Even as IT leaders are feeling increased urgency to accelerate their organizations' transformation, migrating to a multi-cloud environment can present significant challenges to organizations with legacy applications running large data pools.

Adding to this, many surveyed technology leaders are not sure they have the right teams in place. A full 40% of survey respondents do not feel their teams have the right skills to fully meet their IT ambitions, and more than three in four surveyed say they will rely more on trusted partners that can provide managed infrastructure services.

67% of CIOs and CTOs surveyed cite the need for increased infrastructure flexibility as driving the digital transformation, followed by the need for competitive advantage (61%), cost savings (58%), increasing globalization (54%) and meeting client demands (45%).

While the majority — 60% of CIOs and CTOs — surveyed say their company's IT modernization is not yet ready for the future, the study revealed significant differences in the US and UK markets. For example, while approximately 56% of US respondents say they are aggressively moving their IT infrastructure to hybrid cloud, only 38% of respondents in the UK describe their approach as aggressive.

And while 56% of CIOs/CTOs surveyed in the US say their IT infrastructures were completely prepared for the business changes brought on by COVID-19, only 23% of UK managers surveyed felt as prepared.

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...