Organizations Recognize GenA Potential to Address IT Monitoring, Alerting and Response Challenges, But Less Than Half Are Actively Exploring Implementation

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Organizations recognize the benefits of generative AI (GenAI) yet need help to implement the infrastructure necessary to deploy it, according to The Future of AI in IT Operations: Benefits and Challenges, a new report commissioned by ScienceLogic and conducted by Vanson Bourne.

Almost all organizations (99.7%) recognize generative AI/ML's potential to address IT monitoring, alerting, and response challenges, yet only 45% are actively exploring its implementation.

The report also found that 45% struggle to maintain up-to-date GenAI knowledge bases, while 40% face challenges ensuring database quality, likely due to incomplete IT estate monitoring.

The increasing complexity of IT environments and data proliferation is outpacing human capacity, necessitating a shift towards automated, intelligent capabilities that enhance visibility, streamline issue identification, and accelerate resolution times. This automation allows IT teams to focus on delivering cutting-edge business services in a competitive landscape while paving the way for GenAI implementation. These advanced AI systems provide context-aware insights and actionable recommendations, enabling proactive issue prevention and resource optimization. However, effective GenAI deployment relies on first successfully leveraging traditional AI/ML for IT operations (AIOps), forming a foundation for more advanced AI-driven innovations.

Additional report findings include:

Effective IT monitoring, a foundational component of AIOps, remains a challenge across organizations

■ 50% of organizations use multiple, disparate tools to monitor resources, resulting in data silos, longer incident response times, and a fragmented user experience.

■ 47% of surveyed organizations are unable to map all of their on-premises, cloud, and edge devices into a single business view, despite monitoring a large range of IT systems and services.

■ 39% of organizations are prioritizing the consolidation of IT monitoring tools, as creating a consolidated monitoring environment becomes a key strategic focus.

Organizations need comprehensive observability and clear data management to automate using AI/ML

■ 38% cite inability to monitor all IT resources as a barrier to AIOps adoption, highlighting the importance of a holistic IT estate view for effective AI implementation.

■ 39% struggle to automate complex repair workflows due to lack of critical context, exacerbating visibility challenges across the IT estate.

■ 50% acknowledge security concerns as a barrier to AIOps adoption, potentially addressable through proper data management and governance policies.

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Organizations Recognize GenA Potential to Address IT Monitoring, Alerting and Response Challenges, But Less Than Half Are Actively Exploring Implementation

Learn more about ScienceLogic

Organizations recognize the benefits of generative AI (GenAI) yet need help to implement the infrastructure necessary to deploy it, according to The Future of AI in IT Operations: Benefits and Challenges, a new report commissioned by ScienceLogic and conducted by Vanson Bourne.

Almost all organizations (99.7%) recognize generative AI/ML's potential to address IT monitoring, alerting, and response challenges, yet only 45% are actively exploring its implementation.

The report also found that 45% struggle to maintain up-to-date GenAI knowledge bases, while 40% face challenges ensuring database quality, likely due to incomplete IT estate monitoring.

The increasing complexity of IT environments and data proliferation is outpacing human capacity, necessitating a shift towards automated, intelligent capabilities that enhance visibility, streamline issue identification, and accelerate resolution times. This automation allows IT teams to focus on delivering cutting-edge business services in a competitive landscape while paving the way for GenAI implementation. These advanced AI systems provide context-aware insights and actionable recommendations, enabling proactive issue prevention and resource optimization. However, effective GenAI deployment relies on first successfully leveraging traditional AI/ML for IT operations (AIOps), forming a foundation for more advanced AI-driven innovations.

Additional report findings include:

Effective IT monitoring, a foundational component of AIOps, remains a challenge across organizations

■ 50% of organizations use multiple, disparate tools to monitor resources, resulting in data silos, longer incident response times, and a fragmented user experience.

■ 47% of surveyed organizations are unable to map all of their on-premises, cloud, and edge devices into a single business view, despite monitoring a large range of IT systems and services.

■ 39% of organizations are prioritizing the consolidation of IT monitoring tools, as creating a consolidated monitoring environment becomes a key strategic focus.

Organizations need comprehensive observability and clear data management to automate using AI/ML

■ 38% cite inability to monitor all IT resources as a barrier to AIOps adoption, highlighting the importance of a holistic IT estate view for effective AI implementation.

■ 39% struggle to automate complex repair workflows due to lack of critical context, exacerbating visibility challenges across the IT estate.

■ 50% acknowledge security concerns as a barrier to AIOps adoption, potentially addressable through proper data management and governance policies.

Hot Topics