Navigating the digital shift
The document examines the transition from digital transformation to the era of “AI everywhere,” highlighting how organizations are moving from digital acceleration toward scaling technology, business, and data.
It reports that 48% of firms globally now consider themselves digital businesses, while CEOs anticipate that at least 49% of their revenues will come from digital products and services within five years.
Generative AI is identified as a major catalyst for this next phase, with organizations moving from experimentation toward broader adoption and AI-fuelled business models.
The InfoBrief identifies data quality and access, core infrastructure, skills, trust, and governance as critical factors for successful AI initiatives.
One in three organizations cites poor-quality or poorly labelled data as a leading factor preventing higher success rates in generative AI projects, while 28% cite an inability to access required data sets.
Infrastructure modernization is also emphasized, with 84% of organizations viewing generative AI as a major new corporate workload and one in three identifying inadequate infrastructure performance and availability as a key barrier to project success.
The document also highlights the human impact of AI, including skills shortages and the growing role of external IT services providers.
The final recommendations call on organizations to embrace AI-driven disruption, align infrastructure planning with both existing and AI workloads, reduce technical debt, improve data quality and access, develop relevant skills, and leverage strategic partners.
The document notes that 47% of firms consider strong relationships with strategic partners the most important factor contributing to low failure rates in generative AI projects, while 50% expect AI to increase and diversify their external services provider ecosystems.
Access the full report.
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