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Business Leaders Must Reimagine Workforce in Digital Age

Pete Goldin
APMdigest

By neglecting digital workforce transformation, companies are failing to build the capabilities they will need to succeed in an era of digital disruption, according to a new report, Workforce Transformation in the Digital Vortex, from The Center for Digital Business Transformation (DBT Center), an IMD and Cisco initiative.

Cisco projects that by 2020, 50 billion objects will be connected to the Internet and able to generate massive streams of data. In such a climate, organizations must ensure that, ultimately, people are empowered by these new forms of communication and the insights they enable. Only then will they capture their share of a massive opportunity in new digital value.

According to the DBT Center’s Digital Vortex report four in 10 industry incumbents will be displaced by digital disruption over the next five years. In an effort to battle digital disruptors, many companies have focused business transformation efforts on IT and business processes. Too often, however, they neglect their greatest asset: people.

The DBT Center studied the business models of more than 75 disruptive workforce startups and conducted in-depth interviews with many of the founders and/or CEOs of these companies to understand their value propositions and how they believe digitization can transform the workforce. Interviews were also conducted with senior human resources practitioners and operational leaders at large global enterprises in order to understand how these organizations are approaching digital workforce transformation. In addition, the DBT Center surveyed 941 executives globally to assess the current state of their digital transformations and their workforces.

The study found that, in the area of people, fewer than 10 percent of companies have achieved a level of excellence in three key capabilities of digital business agility: hyperawareness, informed decision-making, and fast execution. As described in the study, these are three foundational capabilities that organizations must build in their workforces in order to compete successfully in the Digital Vortex.

“We speak to companies every day that are trying to understand the role technology plays in their business strategy,” said Kevin Bandy, Chief Digital Officer, Cisco. “Many of their most pressing questions focus on how they can empower their employees through digitization to help them improve decision-making, accelerate innovation, and be more productive.”

However, the DBT Center’s research cautions that technology solutions alone are not the only answer to transforming the workforce. These efforts must align to the business process changes that occur across organizations as they reinvent their operating models to compete effectively in a digital era. Furthermore, workforce transformation requires sustained commitment from leadership.

“Transformation is more than a summation of digital solutions, explains Bandy. “Digital transformation is rewriting the rules of business and will require a workforce that is appropriately equipped to work with the speed and agility that this level of change will demand.

The study finds that companies that digitize the workforce stand to win big in the Digital Vortex. In the Digital Vortex, business models, offerings, and value chains are digitized to the maximum extent possible. As innovative disruptors drive toward the center of the Vortex, they reshape markets and industries.

Pete Goldin is Editor and Publisher of APMdigest

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 ...

Business Leaders Must Reimagine Workforce in Digital Age

Pete Goldin
APMdigest

By neglecting digital workforce transformation, companies are failing to build the capabilities they will need to succeed in an era of digital disruption, according to a new report, Workforce Transformation in the Digital Vortex, from The Center for Digital Business Transformation (DBT Center), an IMD and Cisco initiative.

Cisco projects that by 2020, 50 billion objects will be connected to the Internet and able to generate massive streams of data. In such a climate, organizations must ensure that, ultimately, people are empowered by these new forms of communication and the insights they enable. Only then will they capture their share of a massive opportunity in new digital value.

According to the DBT Center’s Digital Vortex report four in 10 industry incumbents will be displaced by digital disruption over the next five years. In an effort to battle digital disruptors, many companies have focused business transformation efforts on IT and business processes. Too often, however, they neglect their greatest asset: people.

The DBT Center studied the business models of more than 75 disruptive workforce startups and conducted in-depth interviews with many of the founders and/or CEOs of these companies to understand their value propositions and how they believe digitization can transform the workforce. Interviews were also conducted with senior human resources practitioners and operational leaders at large global enterprises in order to understand how these organizations are approaching digital workforce transformation. In addition, the DBT Center surveyed 941 executives globally to assess the current state of their digital transformations and their workforces.

The study found that, in the area of people, fewer than 10 percent of companies have achieved a level of excellence in three key capabilities of digital business agility: hyperawareness, informed decision-making, and fast execution. As described in the study, these are three foundational capabilities that organizations must build in their workforces in order to compete successfully in the Digital Vortex.

“We speak to companies every day that are trying to understand the role technology plays in their business strategy,” said Kevin Bandy, Chief Digital Officer, Cisco. “Many of their most pressing questions focus on how they can empower their employees through digitization to help them improve decision-making, accelerate innovation, and be more productive.”

However, the DBT Center’s research cautions that technology solutions alone are not the only answer to transforming the workforce. These efforts must align to the business process changes that occur across organizations as they reinvent their operating models to compete effectively in a digital era. Furthermore, workforce transformation requires sustained commitment from leadership.

“Transformation is more than a summation of digital solutions, explains Bandy. “Digital transformation is rewriting the rules of business and will require a workforce that is appropriately equipped to work with the speed and agility that this level of change will demand.

The study finds that companies that digitize the workforce stand to win big in the Digital Vortex. In the Digital Vortex, business models, offerings, and value chains are digitized to the maximum extent possible. As innovative disruptors drive toward the center of the Vortex, they reshape markets and industries.

Pete Goldin is Editor and Publisher of APMdigest

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 ...