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UK Employees Don't Understand the Meaning of Digital Transformation

More than half of employees surveyed either don’t know (20%) or misinterpret (37%) the meaning of "digital transformation" according to a survey by YouGov, commissioned by Cherwell Software.

The research reveals that 57 percent of employees don’t know the correct meaning of "digital transformation," 20 percent of respondents couldn’t hazard a guess at its meaning and 12 percent thought it meant moving to a paperless office.

Other Key Findings:

■ 64 percent say their employers only adopt new technology once it enters mainstream adoption

■ 9 percent of employers are considered "digital innovators"

■ Mixed reactions to artificial intelligence: 34 percent negative, 21 percent positive and 30 percent in between

■ 42 percent of employees think their businesses do not integrate data and processes across departments well

This research focuses on the view from the workforce itself and its findings go a long way to explain why the 2018 Dell Digital Transformation Index placed the UK in 17th place in its adoption of digital transformation, lagging way behind emerging countries like India, Brazil and Thailand.

“It’s obvious that not enough time is being devoted to communicating with employees to develop their understanding and involvement in the process of digital transformation,” said Oliver Krebs, VP of EMEA sales for Cherwell. “Unless business leaders bring their teams along with them on this journey British organizations are likely to fail and our ability to compete in the global market place will be severely compromised.”

In a further blow to the image of UK businesses, the survey highlights a reluctance to adopt cutting edge technology. According to the survey just 9 percent of businesses are viewed by their workforce as being digital innovators, whilst 64 percent of employers only take on new technology after it has become widely available.

Mixed Reaction to AI

Meanwhile, reactions to adoption of artificial intelligence (AI) in the workplace were mixed: 34 percent of employees were confused (5%), threatened (21%) or saddened (8%), 20 percent were optimistic (16%) or excited (4%), and 30 percent were intrigued — suggesting once again that leadership teams have not effectively communicated and engaged their team in the adoption of new technology.

Cross-Departmental Integration

Central to the success of most digital transformation projects is ensuring a consistent and integrated approach to the use of processes and data across all departments. Yet the survey reveals that just 6 percent of businesses' data and processes are very well integrated across all departments and 42 percent have not integrated inter-departmental data and processes well.

Commenting on the findings Andre Cuenin, Chief Revenue Officer of Cherwell said, “The research demonstrates that UK businesses still have a lot to learn in terms of planning and implementing digital transformation and their adoption of new technologies like artificial intelligence if they want to shed their image of digital innovation followers. The deep level of confusion and miscommunication amongst employees must be addressed by industry leaders. This may be due to the fact that digital transformation is frequently pigeon-holed as an IT issue, whereas in reality it should be seen as an initiative that involves everyone across the business, from the board, down to the most junior employee.”

Methodology: Independent research company YouGov was commissioned to conduct online research among employees at 501 GB companies with 50 or more employees. The research was conducted between Jan 31 and Feb 4, 2019 and was carried out online.

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UK Employees Don't Understand the Meaning of Digital Transformation

More than half of employees surveyed either don’t know (20%) or misinterpret (37%) the meaning of "digital transformation" according to a survey by YouGov, commissioned by Cherwell Software.

The research reveals that 57 percent of employees don’t know the correct meaning of "digital transformation," 20 percent of respondents couldn’t hazard a guess at its meaning and 12 percent thought it meant moving to a paperless office.

Other Key Findings:

■ 64 percent say their employers only adopt new technology once it enters mainstream adoption

■ 9 percent of employers are considered "digital innovators"

■ Mixed reactions to artificial intelligence: 34 percent negative, 21 percent positive and 30 percent in between

■ 42 percent of employees think their businesses do not integrate data and processes across departments well

This research focuses on the view from the workforce itself and its findings go a long way to explain why the 2018 Dell Digital Transformation Index placed the UK in 17th place in its adoption of digital transformation, lagging way behind emerging countries like India, Brazil and Thailand.

“It’s obvious that not enough time is being devoted to communicating with employees to develop their understanding and involvement in the process of digital transformation,” said Oliver Krebs, VP of EMEA sales for Cherwell. “Unless business leaders bring their teams along with them on this journey British organizations are likely to fail and our ability to compete in the global market place will be severely compromised.”

In a further blow to the image of UK businesses, the survey highlights a reluctance to adopt cutting edge technology. According to the survey just 9 percent of businesses are viewed by their workforce as being digital innovators, whilst 64 percent of employers only take on new technology after it has become widely available.

Mixed Reaction to AI

Meanwhile, reactions to adoption of artificial intelligence (AI) in the workplace were mixed: 34 percent of employees were confused (5%), threatened (21%) or saddened (8%), 20 percent were optimistic (16%) or excited (4%), and 30 percent were intrigued — suggesting once again that leadership teams have not effectively communicated and engaged their team in the adoption of new technology.

Cross-Departmental Integration

Central to the success of most digital transformation projects is ensuring a consistent and integrated approach to the use of processes and data across all departments. Yet the survey reveals that just 6 percent of businesses' data and processes are very well integrated across all departments and 42 percent have not integrated inter-departmental data and processes well.

Commenting on the findings Andre Cuenin, Chief Revenue Officer of Cherwell said, “The research demonstrates that UK businesses still have a lot to learn in terms of planning and implementing digital transformation and their adoption of new technologies like artificial intelligence if they want to shed their image of digital innovation followers. The deep level of confusion and miscommunication amongst employees must be addressed by industry leaders. This may be due to the fact that digital transformation is frequently pigeon-holed as an IT issue, whereas in reality it should be seen as an initiative that involves everyone across the business, from the board, down to the most junior employee.”

Methodology: Independent research company YouGov was commissioned to conduct online research among employees at 501 GB companies with 50 or more employees. The research was conducted between Jan 31 and Feb 4, 2019 and was carried out online.

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One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...