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.
The Latest
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...