London, UK, 17th January 2023– As businesses battle to remain successful during turbulent economic times, the adoption of automation tools by IT departments has decelerated. In fact, over half (52%) of surveyed IT professionals say they have not adopted any form of machine learning (ML). That's according to new research from SolarWinds, a leading provider of simple, powerful, and secure IT management software.

Based on a survey of over 270 IT professionals, the findings also reveal approximately 43% of organisations haven't adopted an AIOps approach to infrastructure management, and only 15% plan to do so in the next 12 months.

With IT teams facing pressure from all angles, the study uncovered multiple justifications for the lack of appetite for ML. A lack of budget, inadequate in-house skills, and unsuitable technology were all cited — while many decision-makers do not see an AIOps approach as a current business priority.

Sascha Giese, Head Geek^™at SolarWinds, commented on the findings: "We've emerged from a period of unmatched digital transformation and IT investment into a time of uncertainty in which budgets are under a microscope. Alongside this, IT complexity is only putting additional strain on teams."

"As a result, taking an AIOps approach and implementing ML tools is a daunting or seemingly unachievable task for many IT departments. If vendors want businesses to implement their tools, the process needs to be as simple as possible and provide a tangible benefit to those making budget decisions."

Giese continues: "Looking forward, an observability solution that integrates ML to correlate metrics, automate actions and demonstrate KPIs will reignite the desire for AI adoption. While this concept may seem somewhat sci-fi, it's not as far off as one might think."

SolarWinds^®Hybrid Cloud Observability provides organisations with actionable insights tocontinuously improve performance, availability, security, and digital experience across complex environments. To learn more, visit: www.solarwinds.com/hybrid-cloud-observability

Methodology

The findings of this year's report are based on research of 270 IT workers completed in September 2022.

Media Contacts

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