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While 60% of enterprise generative AI investments still come from innovation budgets, 40% are now coming from more permanent budgets. We should see it being used in more strategic, innovative ways that could reshape industries. Looking to 2025, generative AI is poised to move from experimentation to real-world impact.
The landscape was evolving to a focus on sustaining continuity while gaining competitive advantage through access to data through the most practical path of least disruption. Iterative Learning: Intelligentagents learn and improve over time. It was clearly more about modernization and transformation in place.
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