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Building durable AI advantage
Five reinforcing loops that decide which enterprises lead at scale.
According to Building Durable AI Advantage, a report sponsored by Tata Communications and published by Bloomberg Media Studios, three in four enterprise leaders (77%) now treat AI as a board-level priority. Yet 65% are still operating on legacy or developing infrastructure not designed for the data intensity and integration demands of enterprise AI. Just 29% say their infrastructure can scale with evolving business demands, a critical gap, given that AI workloads do not rise in a smooth line. They surge, shift across environments and place pressure on the weakest parts of the system.
Key takeaway
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Infrastructure gap
Most enterprises want to scale AI, but 65% still rely on outdated infrastructure, limiting their progress.
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Success factors
Success with AI depends on five factors working together - foundation, integration, skills, governance, and ROI.
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Barriers
Skills gaps and integration with legacy systems are major obstacles to realizing full AI value.
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