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Gartner: Digital Business Requires Growth Mindset - Not Just Technology

When embarking on a digital business transformation, too often organizations ignore the need to change the mindset of their staff, according to Gartner, Inc. A technology shift not backed up by a corresponding cultural shift puts the success of a digital business initiative at risk.

"For any transformation to be successful, people need to buy into your vision," said Aashish Gupta, Research Analyst at Gartner. "The culture aspect and the technology demand equal attention from the application leader, because culture will form the backbone of all change initiatives for their digital business transformation. Staff trapped in a "fixed" mindset may slow down or, worse, derail the digital business transformation initiatives of the company."

While every organization has its own unique culture, it must understand the nuance of attracting and retaining talent with values and mindsets aligned to the mission and culture of the organization. "This requires a healthy and psychologically safe team environment within a growth mindset organizational culture," said Gupta.

"Psychologically safe" means making co-workers and team members feel that they will not be punished or humiliated when taking interpersonal risks, such as asking for help, admitting mistakes and vulnerabilities, or expressing concerns.

Applying a growth mindset culture has been a success in well-known online companies

Applying a growth mindset culture has been a success in well-known online companies. An online clothes and shoe retailer instructs all of its new hires to experience its call center. The involvement, which includes training and time spent on answering customer calls, allows employees to gain a holistic view of the business and understand that customer service is the backbone of it.

"Cultural change requires significant investment," said Gupta. "Organizations need a way to measure the value that investment is delivering."

To help application leaders implement mindset change among their staff, Gartner has developed a four-step plan to instigate mindset change:

1. Vision

Create a compelling vision that can be shared as a story to inspire and motivate desire for the change. Everybody should understand what is meant by a growth and product mindset.

"A growth mindset demands people to be comfortable with the speed of the digital era, and they must be willing to make quick and risky bets instead of slow and safe bets. A product mindset requires people to own what they create and take full responsibility in its success and failure," said Gupta.

2. Define

Define key behavioral attributes that reflect the intended mindset change. These can be individual accomplishments that contribute to the team, business or customer results; a greater number of projects owned; or acquiring new skills.

3. Implement

HR should be involved to ensure that performance metrics, as well as the descriptions of roles and responsibilities, are updated to include these key behavioral attributes, before rolling them out to all departments.

"Acceptance will happen only if the change is visible throughout the organization. You should incentivize people to share knowledge or learn new skills," noted Gupta.

4. Measure, Monitor and Wait

Allow some time for the changes to percolate. Continuously measure and monitor the changes through anonymous surveys.

"You can ask employees if they understand the company's messaging around culture, or if they see their leaders practicing it and if they find their colleagues taking the initiative seriously," said Gupta. "Also, remember to track performance measures."

"Be patient. Fostering a growth mindset culture that requires behavior changes among your staff takes time," Gupta concluded. "However, the rewards are considerable as everyone perseveres, learns, grows and accepts that potential is nurtured, not predetermined."

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Gartner: Digital Business Requires Growth Mindset - Not Just Technology

When embarking on a digital business transformation, too often organizations ignore the need to change the mindset of their staff, according to Gartner, Inc. A technology shift not backed up by a corresponding cultural shift puts the success of a digital business initiative at risk.

"For any transformation to be successful, people need to buy into your vision," said Aashish Gupta, Research Analyst at Gartner. "The culture aspect and the technology demand equal attention from the application leader, because culture will form the backbone of all change initiatives for their digital business transformation. Staff trapped in a "fixed" mindset may slow down or, worse, derail the digital business transformation initiatives of the company."

While every organization has its own unique culture, it must understand the nuance of attracting and retaining talent with values and mindsets aligned to the mission and culture of the organization. "This requires a healthy and psychologically safe team environment within a growth mindset organizational culture," said Gupta.

"Psychologically safe" means making co-workers and team members feel that they will not be punished or humiliated when taking interpersonal risks, such as asking for help, admitting mistakes and vulnerabilities, or expressing concerns.

Applying a growth mindset culture has been a success in well-known online companies

Applying a growth mindset culture has been a success in well-known online companies. An online clothes and shoe retailer instructs all of its new hires to experience its call center. The involvement, which includes training and time spent on answering customer calls, allows employees to gain a holistic view of the business and understand that customer service is the backbone of it.

"Cultural change requires significant investment," said Gupta. "Organizations need a way to measure the value that investment is delivering."

To help application leaders implement mindset change among their staff, Gartner has developed a four-step plan to instigate mindset change:

1. Vision

Create a compelling vision that can be shared as a story to inspire and motivate desire for the change. Everybody should understand what is meant by a growth and product mindset.

"A growth mindset demands people to be comfortable with the speed of the digital era, and they must be willing to make quick and risky bets instead of slow and safe bets. A product mindset requires people to own what they create and take full responsibility in its success and failure," said Gupta.

2. Define

Define key behavioral attributes that reflect the intended mindset change. These can be individual accomplishments that contribute to the team, business or customer results; a greater number of projects owned; or acquiring new skills.

3. Implement

HR should be involved to ensure that performance metrics, as well as the descriptions of roles and responsibilities, are updated to include these key behavioral attributes, before rolling them out to all departments.

"Acceptance will happen only if the change is visible throughout the organization. You should incentivize people to share knowledge or learn new skills," noted Gupta.

4. Measure, Monitor and Wait

Allow some time for the changes to percolate. Continuously measure and monitor the changes through anonymous surveys.

"You can ask employees if they understand the company's messaging around culture, or if they see their leaders practicing it and if they find their colleagues taking the initiative seriously," said Gupta. "Also, remember to track performance measures."

"Be patient. Fostering a growth mindset culture that requires behavior changes among your staff takes time," Gupta concluded. "However, the rewards are considerable as everyone perseveres, learns, grows and accepts that potential is nurtured, not predetermined."

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Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

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Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...