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Insights · Technology Risk Management

Everything on Technology Risk Management

2 insights · 2 episodes

  1. Stochastic AI code generation compromises system reliability and simplicity compared to deterministic human-written code.

    Impact: Organizations face increased technical debt and maintenance costs, requiring stricter validation protocols and human oversight.

    — from AI Coding Myths: Strategic Realities For Software Delivery · INNOQ Podcast· May 25, 2026

  2. AI outputs are probabilistic rather than deterministic; treating AI like Excel leads to errors, necessitating robust human-in-the-loop quality assurance and clear boundaries for usage.

    Impact: Prevents costly hallucination-related incidents and establishes a realistic framework for AI integration that balances innovation with operational safety.

    — from KPMG AI Strategy: Scaling Transformation, Risk Management, and Business Model Resilience · Kollegin KI· Mar 31, 2026