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IT Pros Want AI and AIOps but Are Concerned About Data Quality

Despite a near-unanimous desire to adopt AI technology, very few respondents have confidence in their organization's readiness to integrate AI, pointing to limitations in data and infrastructure and security concerns, according to the 2024 IT Trends Report, AI: Friend or Foe?, based on a survey of nearly 700 IT professionals conducted by SolarWinds.

The report found that while IT pros have a growing interest in embracing AI technology, with nine out of ten 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 recognize 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 at SolarWinds. "With the proper internal systems in place and by prioritizing 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 (46%) want their company to move faster in implementing AI despite costs, challenges, and concerns, but only 43% are confident that their company's databases can meet the increased needs of AI. Moreover, even fewer (38%) trust the quality of data or training used in developing AI technologies.

The report unveiled significant insights into 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 (31%), ranking above large language models and machine learning. More than a third of respondents (38%) said their companies already use AI to make IT operations more efficient and effective.

Image removed.
Source: SolarWinds

Distrust of Data Powering AI

Only 38% 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, second only to security and privacy risks. Because of this, today's IT teams see AI as an advisor (33%) and a sidekick (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 (41%) respondents said they've had negative experiences. Of those, privacy concerns (48%) and security risks (43%) were most often cited as the reasons why.

IT Pros Call for Government Regulation

IT pros specifically call for increased government regulations to address security (72%) and privacy (64%). 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 recognize that organizations 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 report found that more than a third of organizations (35.6%) still don't have these policies in place to guide proper AI implementation.

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IT Pros Want AI and AIOps but Are Concerned About Data Quality

Despite a near-unanimous desire to adopt AI technology, very few respondents have confidence in their organization's readiness to integrate AI, pointing to limitations in data and infrastructure and security concerns, according to the 2024 IT Trends Report, AI: Friend or Foe?, based on a survey of nearly 700 IT professionals conducted by SolarWinds.

The report found that while IT pros have a growing interest in embracing AI technology, with nine out of ten 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 recognize 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 at SolarWinds. "With the proper internal systems in place and by prioritizing 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 (46%) want their company to move faster in implementing AI despite costs, challenges, and concerns, but only 43% are confident that their company's databases can meet the increased needs of AI. Moreover, even fewer (38%) trust the quality of data or training used in developing AI technologies.

The report unveiled significant insights into 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 (31%), ranking above large language models and machine learning. More than a third of respondents (38%) said their companies already use AI to make IT operations more efficient and effective.

Image removed.
Source: SolarWinds

Distrust of Data Powering AI

Only 38% 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, second only to security and privacy risks. Because of this, today's IT teams see AI as an advisor (33%) and a sidekick (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 (41%) respondents said they've had negative experiences. Of those, privacy concerns (48%) and security risks (43%) were most often cited as the reasons why.

IT Pros Call for Government Regulation

IT pros specifically call for increased government regulations to address security (72%) and privacy (64%). 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 recognize that organizations 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 report found that more than a third of organizations (35.6%) still don't have these policies in place to guide proper AI implementation.

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Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 5 covers the infrastructure and hardware supporting AI ...

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Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 2 covers the challenges presented by AI, as well as solutions to those problems ...

In the final part of APMdigest's 2025 Predictions Series, industry experts offer predictions on how AI will evolve and impact technology and business in 2025 ...

E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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