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You are at:Home»News from Resilience Forward»AI becoming business-critical but a ‘composite AI’ approach is most effective
News from Resilience Forward

AI becoming business-critical but a ‘composite AI’ approach is most effective

A new report finds that 83% of technology leaders say the use of AI has become essential for their organization, but 95% say that generative AI would be more beneficial if enriched and prompted by other types of AI.
December 13, 20232 Mins Read
Concept image shows two people shaking hands while AI augments the transaction.

Dynatrace has released the findings of an independent global survey of 1,300 CTOs, CIOs, and other technology leaders in large organizations. The research reveals that organizations are increasing their investments in AI across all areas of their business to improve productivity, automate tasks, reduce costs, and keep pace with the competition. Alongside the clear advantages of AI, however, there are also challenges and risks that organizations need to manage, from ensuring that the outputs of generative AI are trustworthy to support business-critical use cases to maintaining compliance with internal policies and global regulations related to data security and privacy.

The survey report, ‘The state of AI 2024: Challenges to adoption and key strategies for organizational success’, says that these findings underscore the need for a composite approach to AI, whereby organizations combine multiple types of AI – such as generative, predictive, and causal – and different data sources – such as observability, security, and business events. This approach ‘brings precision, context, and meaning to AI outputs’.

Key findings from the research include:

  • 83% of technology leaders say AI has become mandatory to keep up with the dynamic nature of cloud environments.
  • 82% of technology leaders say AI will be critical to security threat detection, investigation, and response.
  • 88% of technology leaders expect AI to extend access to data analytics to nontechnical employees through natural language queries.
  • 88% of technology leaders think AI will enable cloud cost efficiencies by supporting FinOps practices.
  • 93% of technology leaders are concerned that AI could be used for non-approved uses as employees become more accustomed to using tools such as ChatGPT.
  • 98% of technology leaders are concerned that generative AI could be susceptible to unintentional bias, error, and misinformation.
  • 95% of technology leaders say generative AI would be more beneficial if enriched and prompted by other types of AI that can provide precise facts about current states and accurate predictions about the future.

Methodology

This report is based on a global survey conducted by Coleman Parkes and commissioned by Dynatrace of 1,300 CTOs, CIOs, and other senior technology leaders involved in IT operations and DevOps management in large organizations with over 1,000 employees. The sample included 200 respondents in the US, 100 in Latin America, 600 in Europe, 150 in the Middle East, and 250 in Asia Pacific.

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