매니지드 서비스가 AI 인프라에 미치는 영향

This IDC Market Perspective provides insight into buyer expectations of the value of AI when used with managed services for infrastructure technologies (e.g., compute, storage, network, endpoint) along with critical challenges. This document also highlights leading and lagging factors that managed SPs need to consider when shaping their strategies in deploying AI with managed services and the dominant themes that managed SPs need to understand in optimizing their AI opportunities."Managed SPs need to help enterprises optimize the value of AI when deployed with managed services to ensure that organizations can meet critical business and IT objectives particularly around increasing revenue, more closely linking IT with business performance, need for greater agility, and improving customer experience," says David Tapper, program VP, Outsourcing and Managed Cloud Services at IDC. "Investments that managed SPs must make to ensure that they can effectively support client use of AI with managed services must involve emphasizing value proposition, offering proof points and use cases, implementing robust governance, developing a road map for talent versus automation, and creating a risk management function."

Executive Snapshot

New Market Developments and Dynamics

• Executive Summary
  • Market Context for Managed Services
  • Managed Services: The Value of AI with Infrastructure
    • Leading Factors
    • Lagging Factors
• Market and Buyer Requirements of AI for Infrastructure with Managed Services
  • Value of AI with Infrastructure
    • Leading Factors
    • Lagging Factors
  • Challenges of AI with Infrastructure
    • Leading Factors
    • Lagging Factors
  • Value of AI for End Users
    • Leading Factors
    • Lagging Factors
• Impact of AI on Managed Services and Managed SPs

Advice for the Services Provider

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• Related Research
• Synopsis