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Gartner: 6 Barriers to Becoming a Digital Business

As organizations continue to embrace digital transformation, they are finding that digital business is not as simple as buying the latest technology — it requires significant changes to culture and systems. A recent Gartner, Inc. survey found that only a small number of organizations have been able to successfully scale their digital initiatives beyond the experimentation and piloting stages.

"The reality is that digital business demands different skills, working practices, organizational models and even cultures," said Marcus Blosch, Research VP at Gartner. "To change an organization designed for a structured, ordered, process-oriented world to one designed for ecosystems, adaptation, learning and experimentation is hard. Some organizations will navigate that change, and others that can't change will become outdated and be replaced."

Gartner has identified six barriers that CIOs must overcome to transform their organization into a digital business:

Barrier No. 1: A Change-Resisting Culture

Digital innovation can be successful only in a culture of collaboration. People have to be able to work across boundaries and explore new ideas. In reality, most organizations are stuck in a culture of change-resistant silos and hierarchies.

"Culture is organizational 'dark matter' — you can't see it, but its effects are obvious," said Blosch. "The challenge is that many organizations have developed a culture of hierarchy and clear boundaries between areas of responsibilities. Digital innovation requires the opposite: collaborative cross-functional and self-directed teams that are not afraid of uncertain outcomes."

CIOs aiming to establish a digital culture should start small: Define a digital mindset, assemble a digital innovation team, and shield it from the rest of the organization to let the new culture develop. Connections between the digital innovation and core teams can then be used to scale new ideas and spread the culture.

Barrier No. 2: Limited Sharing and Collaboration

The lack of willingness to share and collaborate is a challenge not only at the ecosystem level but also inside the organization. Issues of ownership and control of processes, information and systems make people reluctant to share their knowledge. Digital innovation with its collaborative cross-functional teams is often very different from what employees are used to with regards to functions and hierarchies — resistance is inevitable.

"It's not necessary to have everyone on board in the early stages. Try to find areas where interests overlap, and create a starting point. Build a first version, test the idea and use the success story to gain the momentum needed for the next step," said Blosch.

Barrier No. 3: The Business Isn't Ready

Many business leaders are caught up in the hype around digital business. But when the CIO or CDO wants to start the transformation process, it turns out that the business doesn't have the skills or resources needed.

"CIOs should address the digital readiness of the organization to get an understanding of both business and IT readiness," Blosch advised. "Then, focus on the early adopters with the willingness and openness to change and leverage digital. But keep in mind that digital may just not be relevant to certain parts of the organization."

Barrier No. 4: The Talent Gap

Most organizations follow a traditional pattern — organized into functions such as IT, sales and supply chain and largely focused on operations. Change can be slow in this kind of environment.

Digital innovation requires an organization to adopt a different approach. People, processes and technology blend to create new business models and services. Employees need new skills focused on innovation, change and creativity along with the new technologies themselves, such as artificial intelligence (AI) and the Internet of Things (IoT).

"There are two approaches to breach the talent gap — upskill and bimodal," said Blosch. "In smaller or more innovative organizations, it is possible to redefine individuals' roles to include more skills and competencies needed to support digital. In other organizations, using a bimodal approach makes sense by creating a separate group to handle innovation with the requisite skill set."

Barrier No. 5: The Current Practices Don't Support the Talent

Having the right talent is essential, and having the right practices lets the talent work effectively. Highly structured and slow traditional processes don't work for digital. There are no tried and tested models to implement, but every organization has to find the practices that suits it best.

"Some organizations may shift to a product management-based approach for digital innovations because it allows for multiple iterations. Operational innovations can follow the usual approaches until the digital team is skilled and experienced enough to extend its reach and share the learned practices with the organization," Blosch explained.

Barrier No. 6: Change Isn't Easy

It's often technically challenging and expensive to make digital work. Developing platforms, changing the organizational structure, creating an ecosystem of partners — all of this costs time, resources and money.

Over the long term, enterprises should build the organizational capabilities that make change simpler and faster. To do that, they should develop a platform-based strategy that supports continuous change and design principles and then innovate on top of that platform, allowing new services to draw from the platform and its core services.

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Gartner: 6 Barriers to Becoming a Digital Business

As organizations continue to embrace digital transformation, they are finding that digital business is not as simple as buying the latest technology — it requires significant changes to culture and systems. A recent Gartner, Inc. survey found that only a small number of organizations have been able to successfully scale their digital initiatives beyond the experimentation and piloting stages.

"The reality is that digital business demands different skills, working practices, organizational models and even cultures," said Marcus Blosch, Research VP at Gartner. "To change an organization designed for a structured, ordered, process-oriented world to one designed for ecosystems, adaptation, learning and experimentation is hard. Some organizations will navigate that change, and others that can't change will become outdated and be replaced."

Gartner has identified six barriers that CIOs must overcome to transform their organization into a digital business:

Barrier No. 1: A Change-Resisting Culture

Digital innovation can be successful only in a culture of collaboration. People have to be able to work across boundaries and explore new ideas. In reality, most organizations are stuck in a culture of change-resistant silos and hierarchies.

"Culture is organizational 'dark matter' — you can't see it, but its effects are obvious," said Blosch. "The challenge is that many organizations have developed a culture of hierarchy and clear boundaries between areas of responsibilities. Digital innovation requires the opposite: collaborative cross-functional and self-directed teams that are not afraid of uncertain outcomes."

CIOs aiming to establish a digital culture should start small: Define a digital mindset, assemble a digital innovation team, and shield it from the rest of the organization to let the new culture develop. Connections between the digital innovation and core teams can then be used to scale new ideas and spread the culture.

Barrier No. 2: Limited Sharing and Collaboration

The lack of willingness to share and collaborate is a challenge not only at the ecosystem level but also inside the organization. Issues of ownership and control of processes, information and systems make people reluctant to share their knowledge. Digital innovation with its collaborative cross-functional teams is often very different from what employees are used to with regards to functions and hierarchies — resistance is inevitable.

"It's not necessary to have everyone on board in the early stages. Try to find areas where interests overlap, and create a starting point. Build a first version, test the idea and use the success story to gain the momentum needed for the next step," said Blosch.

Barrier No. 3: The Business Isn't Ready

Many business leaders are caught up in the hype around digital business. But when the CIO or CDO wants to start the transformation process, it turns out that the business doesn't have the skills or resources needed.

"CIOs should address the digital readiness of the organization to get an understanding of both business and IT readiness," Blosch advised. "Then, focus on the early adopters with the willingness and openness to change and leverage digital. But keep in mind that digital may just not be relevant to certain parts of the organization."

Barrier No. 4: The Talent Gap

Most organizations follow a traditional pattern — organized into functions such as IT, sales and supply chain and largely focused on operations. Change can be slow in this kind of environment.

Digital innovation requires an organization to adopt a different approach. People, processes and technology blend to create new business models and services. Employees need new skills focused on innovation, change and creativity along with the new technologies themselves, such as artificial intelligence (AI) and the Internet of Things (IoT).

"There are two approaches to breach the talent gap — upskill and bimodal," said Blosch. "In smaller or more innovative organizations, it is possible to redefine individuals' roles to include more skills and competencies needed to support digital. In other organizations, using a bimodal approach makes sense by creating a separate group to handle innovation with the requisite skill set."

Barrier No. 5: The Current Practices Don't Support the Talent

Having the right talent is essential, and having the right practices lets the talent work effectively. Highly structured and slow traditional processes don't work for digital. There are no tried and tested models to implement, but every organization has to find the practices that suits it best.

"Some organizations may shift to a product management-based approach for digital innovations because it allows for multiple iterations. Operational innovations can follow the usual approaches until the digital team is skilled and experienced enough to extend its reach and share the learned practices with the organization," Blosch explained.

Barrier No. 6: Change Isn't Easy

It's often technically challenging and expensive to make digital work. Developing platforms, changing the organizational structure, creating an ecosystem of partners — all of this costs time, resources and money.

Over the long term, enterprises should build the organizational capabilities that make change simpler and faster. To do that, they should develop a platform-based strategy that supports continuous change and design principles and then innovate on top of that platform, allowing new services to draw from the platform and its core services.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...