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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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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

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Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...