Skip to main content

The Strategic Evolution of IT: From Cost Center to Business Catalyst

Sharon Mandell
Juniper Networks

The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership. This shift hasn't just been about changing mindsets — it's about tangible results. Research shows that digital leaders deliver average annual total shareholder returns of 8.1% vs. 4.9% for laggards, highlighting the undeniable link between technological excellence and business success.

As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes. And this mastery isn't accidental — it's the result of deliberate strategies that bridge the traditional gap between technology capabilities and business objectives.

Bridging the Gap Between Technology and Business Objectives

To meaningfully connect technology and business objectives, organizations need practical strategies that move beyond simply acknowledging IT's importance. It's about actively aligning IT initiatives with core business goals, ensuring that technology serves as a catalyst for achieving strategic outcomes. To facilitate this alignment, several approaches should be considered:

Objectives and Key Results (OKRs): OKRs go beyond project and portfolio management by focusing on ambitious, measurable business outcomes that drive progress over time. By aligning their work to these outcomes, tech teams can foster a culture of accountability and transparency, ensuring everyone understands how their work supports overall business goals.

Technology Business Management (TBM): TBM analysis provides transparency into IT investments across the organization. This data-driven approach enables more informed discussions about resource allocation and strategic priorities, shifting conversations from cost control to value creation, while demonstrating IT's direct impact on business success.

Cultivating Cross-Functional Ownership: Breaking down silos between technology teams and other departments is crucial. By establishing dedicated cross-functional teams, aligned to business capabilities, tech professionals can collaborate daily and directly with colleagues from marketing, sales, operations and more. This collaborative approach fosters a deeper understanding of shared goals and ensures that technology solutions are developed with a clear awareness of business needs, allowing for seamless and purposeful integration into existing workflows.

Empowering IT Teams with AI-Native Operations

AI is revolutionizing IT operations, enabling teams to shift focus from routine maintenance to driving strategic business goals. By automating repetitive tasks and delivering real-time insights, AI empowers IT to move from reactive troubleshooting to proactive optimization, reducing distractions and aligning more closely with broader business objectives.

AI-native networking provides a clear example of this transformation, delivering up to 90% fewer trouble tickets and 9x faster deployments. This enables IT teams to reduce downtime, enhance user experiences, and devote more time to initiatives that improve customer engagement, optimize supply chains, and accelerate business growth.

Beyond networking, AI-driven operations represent a broader shift in how IT projects are approached. The traditional model of large-scale, disruptive rollouts is giving way to more agile, iterative strategies. Continuous monitoring and real-time insights allow organizations to adapt technology solutions to evolving business needs, freeing IT professionals to focus on innovation rather than firefighting.

By embracing AI-driven operations, IT teams can become true enablers of business success, helping organizations achieve measurable outcomes and maintain a competitive edge.

Fostering a Culture of Innovation and Collaboration

The most successful organizations recognize that technology-driven transformation requires more than just implementing new solutions — it demands an organization-wide cultural shift. This means evolving IT teams from traditional "order-takers" to influential decision-makers who help shape and execute business strategy. The key lies in creating an environment where innovation thrives and tech professionals feel empowered to contribute their unique perspectives to business discussions.

Organizations must invest in both the technical and business acumen of their IT talent. A dual focus on these areas enables teams to better understand the broader business context of their work and contribute more meaningfully to strategic discussions. When IT professionals can speak the languages of both technology and business, they become invaluable partners in driving broader innovation. Success in this area requires a commitment to continuous learning, mentorship programs and creating opportunities for cross-functional collaboration that expose IT teams to diverse business challenges and perspectives.

The Future of IT Leadership

As we look to the future, the role of IT will continue to evolve. The most successful organizations will be those that anticipate the transformative potential of technology and proactively weave it into the DNA of their strategic blueprints. This means:

  • Forging co-ownership between technology and business leaders
  • Sharing critical data insights across business units to drive better decision-making
  • Maintaining a focus on continuous feedback and adaptation
  • Treating technology investments as strategic assets rather than operational expenses

With technology continuing to reshape industries and markets, the question is no longer whether tech professionals should have a seat at the strategic table, but how to maximize its potential and impact on business success. The answer lies in fostering open dialogue, aligning technology with business objectives and demonstrating tangible value. Now is the time for IT leaders to claim their rightful place at the table, unlocking unprecedented possibilities and paving the way for a new era of success.

Sharon Mandell is SVP and Chief Information Officer at Juniper Networks

The Latest

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...

OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...

The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...

The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...

More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey. Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries ...

Image
Pagerduty

 

Real privacy protection thanks to technology and processes is often portrayed as too hard and too costly to implement. So the most common strategy is to do as little as possible just to conform to formal requirements of current and incoming regulations. This is a missed opportunity ...

The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and validity, according to a new report from Information Services Group (ISG) ...

The Strategic Evolution of IT: From Cost Center to Business Catalyst

Sharon Mandell
Juniper Networks

The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership. This shift hasn't just been about changing mindsets — it's about tangible results. Research shows that digital leaders deliver average annual total shareholder returns of 8.1% vs. 4.9% for laggards, highlighting the undeniable link between technological excellence and business success.

As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes. And this mastery isn't accidental — it's the result of deliberate strategies that bridge the traditional gap between technology capabilities and business objectives.

Bridging the Gap Between Technology and Business Objectives

To meaningfully connect technology and business objectives, organizations need practical strategies that move beyond simply acknowledging IT's importance. It's about actively aligning IT initiatives with core business goals, ensuring that technology serves as a catalyst for achieving strategic outcomes. To facilitate this alignment, several approaches should be considered:

Objectives and Key Results (OKRs): OKRs go beyond project and portfolio management by focusing on ambitious, measurable business outcomes that drive progress over time. By aligning their work to these outcomes, tech teams can foster a culture of accountability and transparency, ensuring everyone understands how their work supports overall business goals.

Technology Business Management (TBM): TBM analysis provides transparency into IT investments across the organization. This data-driven approach enables more informed discussions about resource allocation and strategic priorities, shifting conversations from cost control to value creation, while demonstrating IT's direct impact on business success.

Cultivating Cross-Functional Ownership: Breaking down silos between technology teams and other departments is crucial. By establishing dedicated cross-functional teams, aligned to business capabilities, tech professionals can collaborate daily and directly with colleagues from marketing, sales, operations and more. This collaborative approach fosters a deeper understanding of shared goals and ensures that technology solutions are developed with a clear awareness of business needs, allowing for seamless and purposeful integration into existing workflows.

Empowering IT Teams with AI-Native Operations

AI is revolutionizing IT operations, enabling teams to shift focus from routine maintenance to driving strategic business goals. By automating repetitive tasks and delivering real-time insights, AI empowers IT to move from reactive troubleshooting to proactive optimization, reducing distractions and aligning more closely with broader business objectives.

AI-native networking provides a clear example of this transformation, delivering up to 90% fewer trouble tickets and 9x faster deployments. This enables IT teams to reduce downtime, enhance user experiences, and devote more time to initiatives that improve customer engagement, optimize supply chains, and accelerate business growth.

Beyond networking, AI-driven operations represent a broader shift in how IT projects are approached. The traditional model of large-scale, disruptive rollouts is giving way to more agile, iterative strategies. Continuous monitoring and real-time insights allow organizations to adapt technology solutions to evolving business needs, freeing IT professionals to focus on innovation rather than firefighting.

By embracing AI-driven operations, IT teams can become true enablers of business success, helping organizations achieve measurable outcomes and maintain a competitive edge.

Fostering a Culture of Innovation and Collaboration

The most successful organizations recognize that technology-driven transformation requires more than just implementing new solutions — it demands an organization-wide cultural shift. This means evolving IT teams from traditional "order-takers" to influential decision-makers who help shape and execute business strategy. The key lies in creating an environment where innovation thrives and tech professionals feel empowered to contribute their unique perspectives to business discussions.

Organizations must invest in both the technical and business acumen of their IT talent. A dual focus on these areas enables teams to better understand the broader business context of their work and contribute more meaningfully to strategic discussions. When IT professionals can speak the languages of both technology and business, they become invaluable partners in driving broader innovation. Success in this area requires a commitment to continuous learning, mentorship programs and creating opportunities for cross-functional collaboration that expose IT teams to diverse business challenges and perspectives.

The Future of IT Leadership

As we look to the future, the role of IT will continue to evolve. The most successful organizations will be those that anticipate the transformative potential of technology and proactively weave it into the DNA of their strategic blueprints. This means:

  • Forging co-ownership between technology and business leaders
  • Sharing critical data insights across business units to drive better decision-making
  • Maintaining a focus on continuous feedback and adaptation
  • Treating technology investments as strategic assets rather than operational expenses

With technology continuing to reshape industries and markets, the question is no longer whether tech professionals should have a seat at the strategic table, but how to maximize its potential and impact on business success. The answer lies in fostering open dialogue, aligning technology with business objectives and demonstrating tangible value. Now is the time for IT leaders to claim their rightful place at the table, unlocking unprecedented possibilities and paving the way for a new era of success.

Sharon Mandell is SVP and Chief Information Officer at Juniper Networks

The Latest

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...

OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...

The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...

The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...

More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey. Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries ...

Image
Pagerduty

 

Real privacy protection thanks to technology and processes is often portrayed as too hard and too costly to implement. So the most common strategy is to do as little as possible just to conform to formal requirements of current and incoming regulations. This is a missed opportunity ...

The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and validity, according to a new report from Information Services Group (ISG) ...