애플리케이션에서 AI 가치 창출 속도 : 지연의 원인은 무엇인가?

This IDC Perspective discusses the speed of AI value creation in applications and what's causing the delay. The growing gap between the speed of AI innovation and the speed of enterprise value realization is now primarily an organizational challenge. The most significant bottlenecks to AI value creation revolve around organizations' ability to operationalize their AI, not in the underlying technology. "To help ensure that small incremental improvements give way to true innovation of business and operating models, enterprises need to intentionally redesign how AI is deployed, measured, governed, and scaled," said Eric Newmark, GVP/GM, SaaS, Enterprise Software, and Worldwide Services Division at IDC. "This will transform AI from simply facilitating isolated productivity gains to enabling sustained, enterprisewide streams of innovation and competitive advantage."

Executive Snapshot

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Situation Overview

• Vendor productization and monetization
• Customer adoption
• Operational transformation: Where AI value scales or stalls
• Regulations, compliance, and trust
• Product refinement
• Shifting from a value drip to a value stream: Key questions enterprises should ask themselves
  • What are our key criteria for successful AI deployment, and how will we measure value?
  • What regulatory or governance concerns are essential to our AI adoption journey?
  • Which operational blockers are preventing progress with AI and agentic solutions?
  • What is preventing progress in AI adoption and use case development?
  • How do we align vendor solutions with current and future requirements?

Advice for the Technology Buyer

Advice for Application Vendors

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