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IDC on Why Legacy Networks and the Status Quo are Holding Organizations Back

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While some traditional networking companies are claiming AI to be a silver bullet, where conversational assistants eliminate human intervention, instantly solving complex issues, the reality is that skilled IT engineers are still required to validate context, oversee insights, and execute network changes.

This IDC Info Snapshot compares intent versus reality and the challenges tied to legacy network architectures that have stalled expected outcomes. The report also highlights the path forward and why a new and modern architecture is required to finally achieve true autonomous operations within the enterprise LAN.

Today’s Reality

Data Fragmentation: Disparate data prevents AI from gaining full end-to-end context

Siloed Visibility: Incomplete root-cause analysis & false positives versus actionable insights

Trust Gap: Self-healing promises often led to confident-sounding but incorrect actions

Strategic Shift: Organizations must adopt a deterministic, autonomous operations model

What’s inside the report

  • Insights into why the intent of AI for networking does not match the impact
  • Guidance on how to avoid today’s barriers to AI for networking and AI-washing
  • Key elements needed to shift the usefulness and adoption of autonomous operations

Who this report is for

This is intended for IT, networking, and security leaders managing enterprise networks who seek to bridge the gap between AI ambitions and true autonomous operations in today’s AI era.

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