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Making the Investment in Digital Transformation and Ongoing Innovation

Frank Palermo

We now live in the kind of connected world where established businesses that are not evolving digitally are in jeopardy of becoming extinct. Since 2000, more than 50 percent of Fortune 500 companies have either been acquired, merged, or declared bankruptcy. At the same time, we've seen an incredible amount of innovation and the emergence of new business models.

Yet while certain industries have embraced digital, others have been slow to adopt.

The good news is that new research shows companies are preparing to make digital transformation a priority in the near future. However most of them have a long way to go before achieving any kind of mastery over the multiple disciples required to effectively innovate. This is according to The Digital Transformation Race Has Begun, a study Virtusa commissioned and Forrester Consulting conducted to assess the digital maturity of firms worldwide.

The study, generated with input from more than 600 digital transformation decision makers in North America and Western Europe, evaluates the state of digital transformation across six key industries – retail, banking, healthcare, insurance, telco and media. The study found that 85 percent of firms surveyed said they plan on increasing their digital transformation budget in the next year, with 37 percent indicating the increase would be by 10 percent or more.

In today's business landscape, with industries being disrupted at every turn, companies must be able to quickly change their products and processes to pivot to take advantage of new market opportunities. As the study finds, improving digital maturity will be key to meeting the changing needs of customers in an evolving marketplace. Some industries, like financial services, have made digital innovation a priority and are better equipped to handle industry disruption, while others, most notably insurance and healthcare, are comprised of organizations still struggling to establish long-term strategies.

Regardless of industry, the study concludes that companies that are obsessed with the experience they provide to their customers, can achieve significant operational efficiencies, and put innovation at the heart of their respective cultures are the ones that will see the greatest benefits from digital transformation.

The following are some additional interesting insights:

■ Retail outperforms other industries and is setting the standard for creating innovative, digitally-driven customer experiences.

■ Banking firms are ease-of-use leaders, yet they face investment challenges, including slow economic growth, low interest margins, increased regulation, and changing consumer expectations.

■ Healthcare companies traditionally lag behind other industries in adopting business technologies that help with customer engagement. This is tied to intense regulatory requirements leading to a significant focus on security of customer data.

■ Insurance organizations are just beginning to digitally transform as the complexity of products and services, legacy technology reliance, and risk-averse cultures all affect how fast insurers can move forward with their digital transformation journeys.

■ Telco firms are shifting to customer-centricity, driven in part by low customer satisfaction and disruption caused by over-the-top (OTT) providers.

■ Media companies have the most ground to cover in digital transformation. They also represent the group least likely to increase investment in digital initiatives.

The biggest challenge across all industries is that most organizations are treating digital transformation as a loose correlation of technology projects. Yet digital transformation is not a project; it is a re-writing of the business and requires significant cultural change. Digital transformation is about streamlining the customer experience, optimizing operations and thinking differently about innovation. It's not about the ROI of a single digital program, but rather survival in your respective industry.

Methodology: In this study, Forrester conducted an online survey of 606 organizations representing six verticals in North America and Western Europe to evaluate the state of digital transformation readiness today. Survey participants included decision makers in customer insights, digital operations, or business innovation strategy.

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 ...

Making the Investment in Digital Transformation and Ongoing Innovation

Frank Palermo

We now live in the kind of connected world where established businesses that are not evolving digitally are in jeopardy of becoming extinct. Since 2000, more than 50 percent of Fortune 500 companies have either been acquired, merged, or declared bankruptcy. At the same time, we've seen an incredible amount of innovation and the emergence of new business models.

Yet while certain industries have embraced digital, others have been slow to adopt.

The good news is that new research shows companies are preparing to make digital transformation a priority in the near future. However most of them have a long way to go before achieving any kind of mastery over the multiple disciples required to effectively innovate. This is according to The Digital Transformation Race Has Begun, a study Virtusa commissioned and Forrester Consulting conducted to assess the digital maturity of firms worldwide.

The study, generated with input from more than 600 digital transformation decision makers in North America and Western Europe, evaluates the state of digital transformation across six key industries – retail, banking, healthcare, insurance, telco and media. The study found that 85 percent of firms surveyed said they plan on increasing their digital transformation budget in the next year, with 37 percent indicating the increase would be by 10 percent or more.

In today's business landscape, with industries being disrupted at every turn, companies must be able to quickly change their products and processes to pivot to take advantage of new market opportunities. As the study finds, improving digital maturity will be key to meeting the changing needs of customers in an evolving marketplace. Some industries, like financial services, have made digital innovation a priority and are better equipped to handle industry disruption, while others, most notably insurance and healthcare, are comprised of organizations still struggling to establish long-term strategies.

Regardless of industry, the study concludes that companies that are obsessed with the experience they provide to their customers, can achieve significant operational efficiencies, and put innovation at the heart of their respective cultures are the ones that will see the greatest benefits from digital transformation.

The following are some additional interesting insights:

■ Retail outperforms other industries and is setting the standard for creating innovative, digitally-driven customer experiences.

■ Banking firms are ease-of-use leaders, yet they face investment challenges, including slow economic growth, low interest margins, increased regulation, and changing consumer expectations.

■ Healthcare companies traditionally lag behind other industries in adopting business technologies that help with customer engagement. This is tied to intense regulatory requirements leading to a significant focus on security of customer data.

■ Insurance organizations are just beginning to digitally transform as the complexity of products and services, legacy technology reliance, and risk-averse cultures all affect how fast insurers can move forward with their digital transformation journeys.

■ Telco firms are shifting to customer-centricity, driven in part by low customer satisfaction and disruption caused by over-the-top (OTT) providers.

■ Media companies have the most ground to cover in digital transformation. They also represent the group least likely to increase investment in digital initiatives.

The biggest challenge across all industries is that most organizations are treating digital transformation as a loose correlation of technology projects. Yet digital transformation is not a project; it is a re-writing of the business and requires significant cultural change. Digital transformation is about streamlining the customer experience, optimizing operations and thinking differently about innovation. It's not about the ROI of a single digital program, but rather survival in your respective industry.

Methodology: In this study, Forrester conducted an online survey of 606 organizations representing six verticals in North America and Western Europe to evaluate the state of digital transformation readiness today. Survey participants included decision makers in customer insights, digital operations, or business innovation strategy.

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 ...