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Outpace Rising IT Costs with Managed Services for a Scalable Future

Jonathan Lerner
CEO and President
InterVision Systems

Businesses of all sizes are grappling with rising IT costs, which are placing increasing strain on budgets and diverting resources from core operations. These expenses include everything from hardware like servers and networking equipment to software licenses and subscriptions to salaries for in-house IT staff who often find themselves overstretched. As your business expands, its IT needs and demands will grow correspondingly, further compounding the financial and laboral burden. Managed IT services offer a powerful solution to these problems, enabling you to control costs, reduce labor and refocus on driving growth. By outsourcing IT management, your company can leverage enterprise-level skills and support without the substantial overhead associated with maintaining an internal IT department. This approach frees up your staff to concentrate on strategic initiatives and revenue-generating activities rather than constantly putting out technological fires. But the benefits of managed IT services extend beyond mere cost control. They provide businesses with access to 24/7 support and monitoring, improved cybersecurity measures, regular updates and maintenance and the ability to scale IT infrastructure in line with business growth. This can lead to faster problem resolution, reduced downtime and overall improved IT efficiency and performance. There are several upcoming IT management trends that your organization can leverage to stay ahead of the competitive curve:

Continued increased adoption of cloud-based managed services

Gartner predicts that over 85% of businesses will be cloud-first by next year, and that soon, cloud-based revenue could surpass non-cloud-based revenue — and for good reason, as the cloud offers unprecedented flexibility when it comes to data access. Employees can securely retrieve and work with company information regardless of their location or time zone, which has become necessary in the age of work-from-anywhere arrangements. Organizations that embrace advanced cloud strategies can expect to streamline their data management processes, leading to enhanced operational efficiency. This improved data handling capability often translates into better service delivery, as your teams can respond more quickly and accurately to customer needs. The ripple effect of these improvements leads to increased customer satisfaction and loyalty, benefiting your bottom line.

AI and automation's growing importance

In data processing, these technologies minimize errors and enhance accuracy, leading to more reliable information for decision-making. AI-driven data visualization can reveal previously hidden patterns and insights, revolutionizing how you interpret your data and leverage it for strategic planning and operational improvements. AI and automation can also streamline various data integration tasks. From bolstering data security to facilitating smoother data migrations, these technologies are optimizing processes throughout the data lifecycle.

Data security and privacy considerations

Data security should be a top priority to keep your customers' information safe and protect your business. Data breaches are expensive, time-consuming and come with the risk of your customers losing trust in your organization. Embracing advanced security measures and collaborating with cloud providers allows you to safeguard their data effectively while maintaining brand trust and reputation.

Conclusion

Though the benefits of transitioning to managed IT services are clear, making this move is not without its challenges. Businesses must carefully select vendors, establish clear service level agreements and maintain regular communication with their managed service providers. This will help reduce concerns about data security and privacy when outsourcing, as well as the potential loss of control over IT infrastructure. By effectively leveraging managed IT services, businesses can keep their technology costs under control and gain access to expertise and cutting-edge technologies that might otherwise be out of reach. By managing their IT services more efficiently, IT leaders can ensure that their technology stacks enhance, rather than hinder, their business operations.

Jonathan Lerner is CEO and President of InterVision Systems

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Outpace Rising IT Costs with Managed Services for a Scalable Future

Jonathan Lerner
CEO and President
InterVision Systems

Businesses of all sizes are grappling with rising IT costs, which are placing increasing strain on budgets and diverting resources from core operations. These expenses include everything from hardware like servers and networking equipment to software licenses and subscriptions to salaries for in-house IT staff who often find themselves overstretched. As your business expands, its IT needs and demands will grow correspondingly, further compounding the financial and laboral burden. Managed IT services offer a powerful solution to these problems, enabling you to control costs, reduce labor and refocus on driving growth. By outsourcing IT management, your company can leverage enterprise-level skills and support without the substantial overhead associated with maintaining an internal IT department. This approach frees up your staff to concentrate on strategic initiatives and revenue-generating activities rather than constantly putting out technological fires. But the benefits of managed IT services extend beyond mere cost control. They provide businesses with access to 24/7 support and monitoring, improved cybersecurity measures, regular updates and maintenance and the ability to scale IT infrastructure in line with business growth. This can lead to faster problem resolution, reduced downtime and overall improved IT efficiency and performance. There are several upcoming IT management trends that your organization can leverage to stay ahead of the competitive curve:

Continued increased adoption of cloud-based managed services

Gartner predicts that over 85% of businesses will be cloud-first by next year, and that soon, cloud-based revenue could surpass non-cloud-based revenue — and for good reason, as the cloud offers unprecedented flexibility when it comes to data access. Employees can securely retrieve and work with company information regardless of their location or time zone, which has become necessary in the age of work-from-anywhere arrangements. Organizations that embrace advanced cloud strategies can expect to streamline their data management processes, leading to enhanced operational efficiency. This improved data handling capability often translates into better service delivery, as your teams can respond more quickly and accurately to customer needs. The ripple effect of these improvements leads to increased customer satisfaction and loyalty, benefiting your bottom line.

AI and automation's growing importance

In data processing, these technologies minimize errors and enhance accuracy, leading to more reliable information for decision-making. AI-driven data visualization can reveal previously hidden patterns and insights, revolutionizing how you interpret your data and leverage it for strategic planning and operational improvements. AI and automation can also streamline various data integration tasks. From bolstering data security to facilitating smoother data migrations, these technologies are optimizing processes throughout the data lifecycle.

Data security and privacy considerations

Data security should be a top priority to keep your customers' information safe and protect your business. Data breaches are expensive, time-consuming and come with the risk of your customers losing trust in your organization. Embracing advanced security measures and collaborating with cloud providers allows you to safeguard their data effectively while maintaining brand trust and reputation.

Conclusion

Though the benefits of transitioning to managed IT services are clear, making this move is not without its challenges. Businesses must carefully select vendors, establish clear service level agreements and maintain regular communication with their managed service providers. This will help reduce concerns about data security and privacy when outsourcing, as well as the potential loss of control over IT infrastructure. By effectively leveraging managed IT services, businesses can keep their technology costs under control and gain access to expertise and cutting-edge technologies that might otherwise be out of reach. By managing their IT services more efficiently, IT leaders can ensure that their technology stacks enhance, rather than hinder, their business operations.

Jonathan Lerner is CEO and President of InterVision Systems

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...