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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 one constant of the dynamic world of AI is change and the latest surge of innovation in this space could transform the enterprise workforce. AI agents are capable of collaboration and decision making without human intervention. Learn more about how AI can optimize your supply chain, end to end.
Iterative Learning: Intelligentagents learn and improve over time. The future of the modern enterprise doesnt belong to agent-based ecosystems, but agentic architecture can certainly facilitate shifts through new value streams that flexibly and responsively adapt to and learn from change.
Intelligence Gathering : The modern IRO transcends the role of a record-keeper and takes on the role of an intelligenceagent. How does your company innovate to address this market differently? Here are some key questions to consider: What makes your primary market enticing? What’s your strategy for growth?
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