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Top IT Challenges: Collaboration, Cloud and Security

IT Leaders are adapting to new challenges by prioritizing collaboration, cloud and security more than ever before

CIOs and IT decision makers (ITDMs) are looking to maximize investments and drive innovation after a difficult year which raised the profile of IT leaders in driving critical workplace innovation, according to Cisco's new Accelerating Digital Agility Research.

Over the past twelve months, CIOs and ITDMs from across the globe have been challenged to accelerate their digital and cloud capabilities while protecting their organizations from a growing list of expanding security threats. IT leaders must look to maximize critical investments made in 2020.

To set up their organizations for success in 2021 and beyond, IT leaders have adapted priorities and strategy to focus on core issues including delivering secure collaboration tools to keep distributed workforces productive, maximizing technology investments from the past year, delivering the best end-use experience to employees and customers, embracing cloud and "as a Service," and tackling corporate and societal issues with technology.

"IT leaders are at the forefront of ensuring critical success for their organizations in 2021," said Liz Centoni, Cisco's Chief Strategy Officer and GM, Applications. "Even as questions remain and new challenges will surface, CIOs and IT decision makers are telling us they need to accelerate digital agility for their teams, so they have the speed, flexibility and choice to consume services across both traditional and modern environments."

Key findings of the research:

Secure Access and Effective Collaboration

To prepare for the future of work, teams need highly secure access and the best collaboration experiences to succeed as a hybrid workforce.

While a majority (61%) of CIOs and ITDMs are unsure of what the future of work looks like, 89% believe that maintaining security, control, and governance across user devices, networks, clouds, and applications is essential.

Most (86%) agree it is important to empower a distributed workforce with seamless access to applications and high-quality collaborative experiences.

Securing the expanded threat landscape created by a distributed workforce is paramount — 88% believe it is important to secure remote work tools and protect customer or employee data in the distributed work environment.

Optimized end-user experiences

IT teams must create optimized end-user experiences to keep pace with IT environments that have become increasingly distributed, dynamic, and complex.

89% think it is important to ensure a consistent application performance across both the application and infrastructure

More than three-fourths of the CIOs and ITDMs surveyed agree that user experience should focus on delight versus satisfaction. To deliver a great user experience, 89% think it is important to ensure a consistent application performance across both the application and infrastructure, and 86% believe it is important to make infrastructure as dynamic as application software to meet the changing policy and optimization needs of the application and developer.

While the user experience should aim to delight, nearly all (90%) say it is important or very important to maintain application-to-infrastructure security to meet compliance without slowing down the business.

Hybrid Cloud

The need for agility, speed, scalability and security is driving adoption of hybrid cloud environments and SASE (Secure Access Service Edge) solutions.

CIOs and ITDMs are using cloud to achieve business resilience. However, there is no one-size-fits-all cloud solution.

While most CIOs and ITDMs (84%) agree it is important to offer freedom of choice when it comes to cloud environments — whether on premises, public cloud, private cloud or SaaS — 86% think offering a consistent operational model across these environments is essential.

Nearly 70% of CIOs and ITDMs have adopted SASE solutions because they were investing in cloud applications that needed to be secured (61%), they like to stay up-to-date on industry best practices (56%) and/or their workforce is going to stay distributed (37%).

As-A-Service Solutions

Customers expect a cloud-consumption experience regardless of whether their solutions are deployed on-prem or in the cloud, leading to widespread adoption of "as a Service" solutions.

Of those surveyed, 73% have adopted "as a Service" solutions and 76% use flexible consumption models.

Three fourths of those surveyed believe that "as a Service" will help deliver a better experience for the end user and a better experience for IT teams, helping their organizations achieve operational consistency.

In addition, 76% say "as a Service" will provide better business outcomes, and 77% want "as a Service" solutions to simplify processes and remove risk.

Technology will be a driving factor

Technology will be a driving factor in the facilitation of CIOs and ITDMs to tackle talent retention, internal corporate initiatives and broader societal issues in 2021.

Most CIOs and ITDMs (85%) believe the ability to attract and retain talent in the all-digital world will be critical.

Nearly half of those surveyed said they are upskilling current talent (49%) and investing in talent in new areas (46%) over the next 12 months.

Most CIOs and ITDMs (90%) plan to tackle internal initiatives in 2021, including sustainability (50%), employee mental health (50%), privacy (47%), diversity and inclusion (47%).

In addition, 85% will tackle external societal issues in 2021, including digital divide (39%), healthcare (37%), climate change (35%), social justice (34%), human rights (33%), misinformation or "fake news" (31%), poverty, hunger and homelessness (28%).

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 ...

Top IT Challenges: Collaboration, Cloud and Security

IT Leaders are adapting to new challenges by prioritizing collaboration, cloud and security more than ever before

CIOs and IT decision makers (ITDMs) are looking to maximize investments and drive innovation after a difficult year which raised the profile of IT leaders in driving critical workplace innovation, according to Cisco's new Accelerating Digital Agility Research.

Over the past twelve months, CIOs and ITDMs from across the globe have been challenged to accelerate their digital and cloud capabilities while protecting their organizations from a growing list of expanding security threats. IT leaders must look to maximize critical investments made in 2020.

To set up their organizations for success in 2021 and beyond, IT leaders have adapted priorities and strategy to focus on core issues including delivering secure collaboration tools to keep distributed workforces productive, maximizing technology investments from the past year, delivering the best end-use experience to employees and customers, embracing cloud and "as a Service," and tackling corporate and societal issues with technology.

"IT leaders are at the forefront of ensuring critical success for their organizations in 2021," said Liz Centoni, Cisco's Chief Strategy Officer and GM, Applications. "Even as questions remain and new challenges will surface, CIOs and IT decision makers are telling us they need to accelerate digital agility for their teams, so they have the speed, flexibility and choice to consume services across both traditional and modern environments."

Key findings of the research:

Secure Access and Effective Collaboration

To prepare for the future of work, teams need highly secure access and the best collaboration experiences to succeed as a hybrid workforce.

While a majority (61%) of CIOs and ITDMs are unsure of what the future of work looks like, 89% believe that maintaining security, control, and governance across user devices, networks, clouds, and applications is essential.

Most (86%) agree it is important to empower a distributed workforce with seamless access to applications and high-quality collaborative experiences.

Securing the expanded threat landscape created by a distributed workforce is paramount — 88% believe it is important to secure remote work tools and protect customer or employee data in the distributed work environment.

Optimized end-user experiences

IT teams must create optimized end-user experiences to keep pace with IT environments that have become increasingly distributed, dynamic, and complex.

89% think it is important to ensure a consistent application performance across both the application and infrastructure

More than three-fourths of the CIOs and ITDMs surveyed agree that user experience should focus on delight versus satisfaction. To deliver a great user experience, 89% think it is important to ensure a consistent application performance across both the application and infrastructure, and 86% believe it is important to make infrastructure as dynamic as application software to meet the changing policy and optimization needs of the application and developer.

While the user experience should aim to delight, nearly all (90%) say it is important or very important to maintain application-to-infrastructure security to meet compliance without slowing down the business.

Hybrid Cloud

The need for agility, speed, scalability and security is driving adoption of hybrid cloud environments and SASE (Secure Access Service Edge) solutions.

CIOs and ITDMs are using cloud to achieve business resilience. However, there is no one-size-fits-all cloud solution.

While most CIOs and ITDMs (84%) agree it is important to offer freedom of choice when it comes to cloud environments — whether on premises, public cloud, private cloud or SaaS — 86% think offering a consistent operational model across these environments is essential.

Nearly 70% of CIOs and ITDMs have adopted SASE solutions because they were investing in cloud applications that needed to be secured (61%), they like to stay up-to-date on industry best practices (56%) and/or their workforce is going to stay distributed (37%).

As-A-Service Solutions

Customers expect a cloud-consumption experience regardless of whether their solutions are deployed on-prem or in the cloud, leading to widespread adoption of "as a Service" solutions.

Of those surveyed, 73% have adopted "as a Service" solutions and 76% use flexible consumption models.

Three fourths of those surveyed believe that "as a Service" will help deliver a better experience for the end user and a better experience for IT teams, helping their organizations achieve operational consistency.

In addition, 76% say "as a Service" will provide better business outcomes, and 77% want "as a Service" solutions to simplify processes and remove risk.

Technology will be a driving factor

Technology will be a driving factor in the facilitation of CIOs and ITDMs to tackle talent retention, internal corporate initiatives and broader societal issues in 2021.

Most CIOs and ITDMs (85%) believe the ability to attract and retain talent in the all-digital world will be critical.

Nearly half of those surveyed said they are upskilling current talent (49%) and investing in talent in new areas (46%) over the next 12 months.

Most CIOs and ITDMs (90%) plan to tackle internal initiatives in 2021, including sustainability (50%), employee mental health (50%), privacy (47%), diversity and inclusion (47%).

In addition, 85% will tackle external societal issues in 2021, including digital divide (39%), healthcare (37%), climate change (35%), social justice (34%), human rights (33%), misinformation or "fake news" (31%), poverty, hunger and homelessness (28%).

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 ...