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Industries Most and Least Likely to Be Disrupted in 2018

When it comes to their own companies, 50% of IT stakeholders think they are leaders and will disrupt, while 50% feel they are behind and will be disrupted by the competition in 2018, according to a new survey of IT stakeholders from Alfresco Software and Dimensional Research. The report, Digital Disruption: Disrupt or Be Disrupted, is a wake-up call for the C-suite.

By industry, more telcos (65%) and technology (65%) companies predict they will be disruptors, while 17% of IT stakeholders working for government and non-profit organizations worry they will be disrupted.

According to Alfresco founder and CTO John Newton, “Today’s corporate leaders must realize that digital disruption is happening, and it’s happening right now. Those who don’t have a digital strategy in place and IT modernization initiatives underway are not likely to survive.”

Companies with Vision and Execution will Disrupt

An important takeaway from this survey is what is most likely to propel a company into the disruptor position. According to IT stakeholders, the top predictors of success are IT vision and ability to implement new technologies:

■ Vision of their technology leadership (62%)

■ Ability of their technology teams to execute (58%)

■ Capabilities of new technologies, such as cloud, AI and IoT (57%)

On the other hand, companies most likely to be disrupted are those that are lacking the vision and right levels of investment to succeed, specifically:

■ Lack of budget and people resource investments (61%)

■ Lack of vision among business leaders (48%)

■ No willingness for company culture to embrace digital transformation (47%)

Furthermore, 70% of IT stakeholders believe business executives are taking too long to make the digital transformation leap; only 38% feel the technology team is holding them back. Another 78% feel that people changes are the most difficult, while 22% feel the technology changes are the most difficult.

Banking Most Likely to be Negatively Impacted by Digital Transformation in 2018

The report also looked at which industries were most and least likely to be impacted by digital transformation this year – 40% of IT stakeholders say banking is most likely to be negatively impacted by failing to digitally transform in 2018, and a third (30%) say retail is the industry most likely to be improved by embracing digital transformation.

Industries most likely to be negatively impacted by failing to digitally transform include:

■ Banking – 40%

■ Government – 18%

■ Insurance – 10%

Other industries likely to be improved by embracing digital transformation include:

■ Retail – 30%

■ Healthcare – 24%

■ Manufacturing – 18%

■ Airlines – 17%

■ Transportation – 17%

Cloud is Key to Digital Transformation

To achieve digital transformation quickly, companies need a technology infrastructure that can adapt quickly to change. Infrastructure clouds or infrastructure-as-a-service (IaaS) solutions enable companies to innovate quickly and respond more rapidly to changing business conditions, with minimal capital expense and maintenance costs.

■ The vast majority (95%) of stakeholders say IaaS is important to their digital transformation

■ 81% say they have achieved value from IaaS, but only 11% say they are doing everything they can and have maximized its value

About the Research: An online survey was sent to an independent database of IT professionals with responsibility for digital transformation. A total of 307 qualified IT professionals completed the survey. All participants lived in the United States or the United Kingdom and worked at companies with more than 500 employees. Each had responsibility for digital transformation decision making. Participants included a mix of job levels, company sizes and industries.

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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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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 ...

Industries Most and Least Likely to Be Disrupted in 2018

When it comes to their own companies, 50% of IT stakeholders think they are leaders and will disrupt, while 50% feel they are behind and will be disrupted by the competition in 2018, according to a new survey of IT stakeholders from Alfresco Software and Dimensional Research. The report, Digital Disruption: Disrupt or Be Disrupted, is a wake-up call for the C-suite.

By industry, more telcos (65%) and technology (65%) companies predict they will be disruptors, while 17% of IT stakeholders working for government and non-profit organizations worry they will be disrupted.

According to Alfresco founder and CTO John Newton, “Today’s corporate leaders must realize that digital disruption is happening, and it’s happening right now. Those who don’t have a digital strategy in place and IT modernization initiatives underway are not likely to survive.”

Companies with Vision and Execution will Disrupt

An important takeaway from this survey is what is most likely to propel a company into the disruptor position. According to IT stakeholders, the top predictors of success are IT vision and ability to implement new technologies:

■ Vision of their technology leadership (62%)

■ Ability of their technology teams to execute (58%)

■ Capabilities of new technologies, such as cloud, AI and IoT (57%)

On the other hand, companies most likely to be disrupted are those that are lacking the vision and right levels of investment to succeed, specifically:

■ Lack of budget and people resource investments (61%)

■ Lack of vision among business leaders (48%)

■ No willingness for company culture to embrace digital transformation (47%)

Furthermore, 70% of IT stakeholders believe business executives are taking too long to make the digital transformation leap; only 38% feel the technology team is holding them back. Another 78% feel that people changes are the most difficult, while 22% feel the technology changes are the most difficult.

Banking Most Likely to be Negatively Impacted by Digital Transformation in 2018

The report also looked at which industries were most and least likely to be impacted by digital transformation this year – 40% of IT stakeholders say banking is most likely to be negatively impacted by failing to digitally transform in 2018, and a third (30%) say retail is the industry most likely to be improved by embracing digital transformation.

Industries most likely to be negatively impacted by failing to digitally transform include:

■ Banking – 40%

■ Government – 18%

■ Insurance – 10%

Other industries likely to be improved by embracing digital transformation include:

■ Retail – 30%

■ Healthcare – 24%

■ Manufacturing – 18%

■ Airlines – 17%

■ Transportation – 17%

Cloud is Key to Digital Transformation

To achieve digital transformation quickly, companies need a technology infrastructure that can adapt quickly to change. Infrastructure clouds or infrastructure-as-a-service (IaaS) solutions enable companies to innovate quickly and respond more rapidly to changing business conditions, with minimal capital expense and maintenance costs.

■ The vast majority (95%) of stakeholders say IaaS is important to their digital transformation

■ 81% say they have achieved value from IaaS, but only 11% say they are doing everything they can and have maximized its value

About the Research: An online survey was sent to an independent database of IT professionals with responsibility for digital transformation. A total of 307 qualified IT professionals completed the survey. All participants lived in the United States or the United Kingdom and worked at companies with more than 500 employees. Each had responsibility for digital transformation decision making. Participants included a mix of job levels, company sizes and industries.

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 ...