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Forrester: "Age of the Customer" Defines Business for Next 20 Years

In the "Age of the Customer", only organizations that focus first and foremost on winning, serving, and retaining customers will survive, according to Forrester. This era will define the next 20 years of business, with the marketing department gaining increased power over the overall success of a company.

But what happens to IT? As marketing takes greater ownership and responsibility for tech investments, its confidence in the technology management organization drops: Nearly one-third of marketers believe the technology management group actually hinders the business, according to new studies by Forrester.

Moreover, out of all business units, marketing is the most aggressive in planning to spend money on technology, increasing its "private" technology spending two to three times faster than IT overall.

Forrester VP and Research Director David Cooperstein says: "Executives who lead customer-obsessed enterprises must pull budget dollars from areas that traditionally created dominance — brand advertising, distribution lockup, mergers for scale, and supplier relationships."

According to the new research, they need to invest in four priority areas:

- Real-time actionable data sharing

- Contextualized customer experiences across touchpoints

- Sales efforts tied to buyers' processes

- Content-led marketing and customer interactions

Of equal importance is the role technology management groups play in retaining and serving customers. It is Forrester's contention that technology management splinters off into two vital agendas for the CIO.

"We believe that tech management must embrace two agendas: IT and BT," says Forrester CEO George F. Colony. "The CIO and team must continue to manage and improve IT (infrastructure) — the supply chains, financial systems, HR systems, and production systems that operate the corporation. But in addition, the team must take on the business technology (BT) agenda — building technologies, systems, and processes to win, retain, and serve customers. The CIO and team are best qualified to manage the complexity of emerging BT systems. As an example, systems of operation that contain critical customer data must be transformed to become agile systems of engagement capable of serving mobile customers with the right content, in the appropriate context, with the highest possible convenience."

According to the new research, BT investments must include key capabilities for four key imperatives:

- Engaging customers undergoing a mobile mind shift

- Providing superior customer experience in all customer interactions

- Understanding customers through big data and analytics

- Adapting to — and ideally driving — digital disruption

Can the CIO and CMO work hand in glove in the age of the customer? If they can't, it may well mean the death of well-established brands and companies we are all familiar with.

Related Links:

Forrester Report: Competitive Strategy In The Age Of The Customer

Forrester Report: Technology Management In The Age Of The Customer

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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 ...

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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 ...

Forrester: "Age of the Customer" Defines Business for Next 20 Years

In the "Age of the Customer", only organizations that focus first and foremost on winning, serving, and retaining customers will survive, according to Forrester. This era will define the next 20 years of business, with the marketing department gaining increased power over the overall success of a company.

But what happens to IT? As marketing takes greater ownership and responsibility for tech investments, its confidence in the technology management organization drops: Nearly one-third of marketers believe the technology management group actually hinders the business, according to new studies by Forrester.

Moreover, out of all business units, marketing is the most aggressive in planning to spend money on technology, increasing its "private" technology spending two to three times faster than IT overall.

Forrester VP and Research Director David Cooperstein says: "Executives who lead customer-obsessed enterprises must pull budget dollars from areas that traditionally created dominance — brand advertising, distribution lockup, mergers for scale, and supplier relationships."

According to the new research, they need to invest in four priority areas:

- Real-time actionable data sharing

- Contextualized customer experiences across touchpoints

- Sales efforts tied to buyers' processes

- Content-led marketing and customer interactions

Of equal importance is the role technology management groups play in retaining and serving customers. It is Forrester's contention that technology management splinters off into two vital agendas for the CIO.

"We believe that tech management must embrace two agendas: IT and BT," says Forrester CEO George F. Colony. "The CIO and team must continue to manage and improve IT (infrastructure) — the supply chains, financial systems, HR systems, and production systems that operate the corporation. But in addition, the team must take on the business technology (BT) agenda — building technologies, systems, and processes to win, retain, and serve customers. The CIO and team are best qualified to manage the complexity of emerging BT systems. As an example, systems of operation that contain critical customer data must be transformed to become agile systems of engagement capable of serving mobile customers with the right content, in the appropriate context, with the highest possible convenience."

According to the new research, BT investments must include key capabilities for four key imperatives:

- Engaging customers undergoing a mobile mind shift

- Providing superior customer experience in all customer interactions

- Understanding customers through big data and analytics

- Adapting to — and ideally driving — digital disruption

Can the CIO and CMO work hand in glove in the age of the customer? If they can't, it may well mean the death of well-established brands and companies we are all familiar with.

Related Links:

Forrester Report: Competitive Strategy In The Age Of The Customer

Forrester Report: Technology Management In The Age Of The Customer

Hot Topics

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 ...