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Rapid Adoption of Intelligent Systems is Creating Complexities for IT Teams

Austin O'Malley

Fast track deployment of intelligent systems is well underway – 88% of IT professionals say their organization has already invested in one or more intelligent solutions, from bots, through smart business applications, to full-blown expert systems, according to new research from Ipswitch.

However, the study also shows that over three quarters (78%) of IT professionals are struggling with assessing the full extent of the challenges and threats of deploying intelligent systems themselves, and managing the impact of broader intelligent technology use across their industries and customer bases.

Almost a fifth (19%) report it being "extremely hard" to assess the threats and challenges, and almost two thirds (59%) report it as a "challenge."

The independent global study, carried out by analyst firm Freeform Dynamics explores the fast-paced adoption of intelligent machines and business systems (machines and software with decision making and learning capabilities) in the commercial world.

Adoption of intelligent systems is increasingly seen as a key competitive marketplace differentiator, with over a third (35%) of IT decision makers already saying the ability to exploit intelligent systems is critical to enabling their business to compete successfully over the next three years.

Three quarters of respondents (75%) are utilizing intelligent systems to marshal and manage increasingly complex networks and IT system infrastructures.

The research shows that:

■ 20% are using autonomous bots and electronic assistants to help staff or customers interact with systems more naturally – a further 27% plan to do so in the next year

■ Over a quarter (26%) already have IoT initiatives underway – and 29% have deployments on the horizon

■ 28% are utilising expert decision support systems to optimise how professional staff work – 35% will introduce these soon

Working in the Dark: Managing the Complexity of Intelligent Systems on the Network

Despite the fact that many IT professionals acknowledge the significant commercial and operational benefits of intelligent systems, and the way adoption is trending among partners, competitors and customers, they are concerned about the ability of IT teams to counter the potential risks such technologies pose:

■ Over half (54%) say their current analysis and visualisation capabilities will struggle to keep up with the broader march of intelligent systems

■ 55% say their ability to visualise data in a clear and actionable manner falls short of what they need

■ Almost three quarters (71%) say that making sense of logs and other event data generated is proving extremely demanding

Over a third (39%) also recognize that, regardless of their firm’s plans to use intelligent systems, the impact of other organizations’ use will be a major consideration for their own infrastructure.

For instance:

■ One in five (20%) say that increased activity from third party bots, agents and IoT accessing systems is already making it hard to monitor, track and govern systems and 42% say they believe it is a future risk

■ One fifth (20%) say that increased ‘noise’ on the network is already making it harder to detect malicious activity

■ 17% say that automated or bot traffic creates network quality of service issues

■ 20% also say that automated or bot access to APIs is already causing system or application performance issues

Future Proofing the Network

Rob Farmer, EMEA Senior Director Partner and Alliances at Ipswitch commented: “The study findings show that out of date monitoring approaches are adding to the risk management burden experienced by IT professionals. Less than a third (28%) of respondents had strong and future proof monitoring, analysis and management tools in place to help manage the impact of intelligent systems, and just a quarter (25%) were confident about the capabilities of their performance monitoring and operational analytics tools. Meanwhile, less than a fifth (18%) said their ability to manage the identities of internet-connected ‘things’ was strong and future proofed.”

“Today’s IT professionals are struggling to keep up with the fast-paced rate of technological changes and formulating relevant strategies and plans to tackle the impact of intelligent systems is proving a make or break challenge. IT teams should strive to monitor bandwidth usage by application, user and device to determine how much is used by each entity and whether it is for authorised purposes or not. Deploying proactive monitoring and visualisation tools for high priority assets, with threshold alerts for critical resources, is becoming a must for assuring the availability and reliability of mission-critical networks, servers and business applications in the face of an unending wave of new technologies that require increasingly large amounts of high quality bandwidth.”

Austin O'Malley is Chief Product Officer at Ipswitch.

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Rapid Adoption of Intelligent Systems is Creating Complexities for IT Teams

Austin O'Malley

Fast track deployment of intelligent systems is well underway – 88% of IT professionals say their organization has already invested in one or more intelligent solutions, from bots, through smart business applications, to full-blown expert systems, according to new research from Ipswitch.

However, the study also shows that over three quarters (78%) of IT professionals are struggling with assessing the full extent of the challenges and threats of deploying intelligent systems themselves, and managing the impact of broader intelligent technology use across their industries and customer bases.

Almost a fifth (19%) report it being "extremely hard" to assess the threats and challenges, and almost two thirds (59%) report it as a "challenge."

The independent global study, carried out by analyst firm Freeform Dynamics explores the fast-paced adoption of intelligent machines and business systems (machines and software with decision making and learning capabilities) in the commercial world.

Adoption of intelligent systems is increasingly seen as a key competitive marketplace differentiator, with over a third (35%) of IT decision makers already saying the ability to exploit intelligent systems is critical to enabling their business to compete successfully over the next three years.

Three quarters of respondents (75%) are utilizing intelligent systems to marshal and manage increasingly complex networks and IT system infrastructures.

The research shows that:

■ 20% are using autonomous bots and electronic assistants to help staff or customers interact with systems more naturally – a further 27% plan to do so in the next year

■ Over a quarter (26%) already have IoT initiatives underway – and 29% have deployments on the horizon

■ 28% are utilising expert decision support systems to optimise how professional staff work – 35% will introduce these soon

Working in the Dark: Managing the Complexity of Intelligent Systems on the Network

Despite the fact that many IT professionals acknowledge the significant commercial and operational benefits of intelligent systems, and the way adoption is trending among partners, competitors and customers, they are concerned about the ability of IT teams to counter the potential risks such technologies pose:

■ Over half (54%) say their current analysis and visualisation capabilities will struggle to keep up with the broader march of intelligent systems

■ 55% say their ability to visualise data in a clear and actionable manner falls short of what they need

■ Almost three quarters (71%) say that making sense of logs and other event data generated is proving extremely demanding

Over a third (39%) also recognize that, regardless of their firm’s plans to use intelligent systems, the impact of other organizations’ use will be a major consideration for their own infrastructure.

For instance:

■ One in five (20%) say that increased activity from third party bots, agents and IoT accessing systems is already making it hard to monitor, track and govern systems and 42% say they believe it is a future risk

■ One fifth (20%) say that increased ‘noise’ on the network is already making it harder to detect malicious activity

■ 17% say that automated or bot traffic creates network quality of service issues

■ 20% also say that automated or bot access to APIs is already causing system or application performance issues

Future Proofing the Network

Rob Farmer, EMEA Senior Director Partner and Alliances at Ipswitch commented: “The study findings show that out of date monitoring approaches are adding to the risk management burden experienced by IT professionals. Less than a third (28%) of respondents had strong and future proof monitoring, analysis and management tools in place to help manage the impact of intelligent systems, and just a quarter (25%) were confident about the capabilities of their performance monitoring and operational analytics tools. Meanwhile, less than a fifth (18%) said their ability to manage the identities of internet-connected ‘things’ was strong and future proofed.”

“Today’s IT professionals are struggling to keep up with the fast-paced rate of technological changes and formulating relevant strategies and plans to tackle the impact of intelligent systems is proving a make or break challenge. IT teams should strive to monitor bandwidth usage by application, user and device to determine how much is used by each entity and whether it is for authorised purposes or not. Deploying proactive monitoring and visualisation tools for high priority assets, with threshold alerts for critical resources, is becoming a must for assuring the availability and reliability of mission-critical networks, servers and business applications in the face of an unending wave of new technologies that require increasingly large amounts of high quality bandwidth.”

Austin O'Malley is Chief Product Officer at Ipswitch.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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