Strategies for Successful AI Initiatives

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Reality Gap. The majority of respondents (82%) believe they are ahead of their competitors (including 30% significantly) when it comes to AI adoption for IT services and DEX, and only 5% say they are slightly behind. This gap between perception and reality suggests that many leaders are overconfident about where they are on the AI ​​journey compared to their industry peers.
Readiness Gap . As noted above, there is a readiness gap as only 37% of leaders say their organization is fully prepared to implement AI projects today. Additionally, 72% say that with AI still maturing, it is difficult to implement effective and scalable AI.
Data Gap. Nearly all leaders (85%) confirm that data is critical to AI. However, among those surveyed, 69% are concerned about the effectiveness of their organization’s data for AI use, and only four in ten rate their data as excellent for completeness (43%) and accuracy (40%), with 42% saying that data quality is a barrier to further AI investment. Additionally, 76% of leaders surveyed are concerned about whether their data is publicly accessible.

Enterprises are looking to overcome challenges and chinese overseas british database drive successful strategies that deliver tangible results, with 57% of leaders forming dedicated AI teams and 45% forming observability and/or user experience teams. When it comes to data, a majority of leaders (86%) say using real data, rather than synthetic data, is critical to AI initiatives to optimize DEX. Additionally, 84% agree that observability across all elements of IT is important in an AIOps strategy, and at least 82% say observability to overcome network blind spots—including public cloud, remote work environments, zero trust architectures, and enterprise-owned mobile devices—is extremely or moderately important.
The survey also found several correlations between successful AI adoption among high-performing organizations (revenue growth of 10.5% or more) versus low-performing organizations (revenue flat or declining). High-performing companies prioritize AI, with 74% considering it a key strategic priority (and 26% moderately important) compared to 56% of low-performing organizations. 67% of high-performing organizations are already leveraging AI to improve DEX versus 45% of low-performing organizations. 63% of high-performing organizations provide extensive AI training versus 41% of low-performing organizations.