EMEA IT pros want AI but fear shortcomings in data quality, privacy and security

EMEA IT pros want AI but fear shortcomings in data quality, privacy and security

SolarWinds 2024 IT Trends report asks whether IT pros across the EMEA region see AI as a friend or foe.

SolarWinds, a leading provider of simple, powerful, secure observability and IT management software, has released the findings from its 2024 IT Trends Report, AI: Friend or Foe? The report, based on a survey of nearly 700 IT professionals, 297 of whom were from the EMEA region, about their views on Artificial Intelligence (AI), found that despite a near-unanimous desire to adopt AI technology, very few respondents have confidence in their organisation’s readiness to integrate AI, pointing to limitations in data and infrastructure and security concerns.

Looking specifically at respondents from the EMEA region, the report found that while IT pros have a growing interest in embracing AI technology, with nearly nine-out-of-10 already using or planning to use AI, concerns remain about data quality, database infrastructure readiness and – above all else – security and privacy.

“While talk of AI has dominated the industry, IT leaders and teams recognise the outsize risks of the still-developing technology, heightened by the rush to build AI quickly rather than smartly,” said Krishna Sai, SVP, Technology and Engineering, SolarWinds. “With the proper internal systems in place and by prioritising security, fairness and transparency while building AI, these technologies can serve as a valuable advisor and coworker to overworked teams, but this survey shows that IT pros need to be consulted as their companies invest in AI.”

Overall, the industry’s sentiment reflects cautious optimism about AI despite the obstacles. Almost half of IT professionals (43%) want their company to move faster in implementing AI despite costs, challenges and concerns, but only 34% are very confident that their company’s databases can meet the increased needs of AI. Moreover, only a third (33%) are very trusting of the quality of data or training used in developing AI technologies.

The report unveiled significant insights into EMEA IT professionals’ perspectives on AI, including:

  • AIOps drives efficiency and productivity: IT pros cited AIOps as the AI technology that will have the most significant positive impact on their role (28%), ranking above Large Language Models and Machine Learning. More than a third of respondents (29%) said their companies already use AI to make IT operations more efficient and effective.   
  • Distrust of data powering AI: Only a third (33%) of respondents are very trusting of the data quality and training used in AI technologies, and rank data quality as a major barrier to AI adoption, superseded only by security and cost. Because of this, today’s IT teams see AI as an advisor (34%) and a quiet intern (20%) rather than a solo decision-maker.
  • Privacy and security concerns are barriers to AI adoption: Respondents overwhelmingly named privacy and security concerns as the most significant barrier to AI integration. When asked about their challenges with AI, four-out-of-10 (39%) respondents said they’ve had negative experiences. Of those, privacy concerns (42%) and security risks (39%) were among the top three most often cited as the reasons why.
  • IT pros call for government regulation: IT pros specifically call for increased government regulations to address security (67%) and privacy (60%). More than half of respondents also believe government regulation should play a role in combating misinformation, as training AI models – including data quality – is a matter of both ethics and security.

To ensure successful and secure AI adoption, IT pros recognise that organisations must develop thorough policies on ethics, data privacy and compliance, pointing to ethical considerations and concerns about job displacement as other significant barriers to AI adoption. The SolarWinds report found that almost a third of EMEA organisations (31%) still don’t have these policies in place to guide proper AI implementation.

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