Latest posts

  • The New Technical Debt: Unmaintainable or Misused AI Models

    The New Technical Debt: Unmaintainable or Misused AI Models

    Technical debt used to be easy to spot. You could walk into a development team and see it in the codebase, the lack of tests, or the patchwork of quick fixes that no one wanted to touch. It had a smell to it. You knew that every release took longer, and every new feature came…

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  • Model Drift, Shadow AI, and Spaghetti ML: Why AI Governance Is Already a Problem

    Model Drift, Shadow AI, and Spaghetti ML: Why AI Governance Is Already a Problem

    The promise of artificial intelligence in business is compelling. Increased efficiency, sharper insights, and products that adapt intelligently to customer needs are now part of the narrative in every boardroom. Yet beneath the enthusiasm lies a more uncomfortable reality. The technology is evolving faster than the structures designed to manage it, and companies are already…

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  • Just what is Technical Debt?

    Technical debt refers to the additional work and future costs that arise when a company opts for a quick, easy solution now instead of a more efficient and long-term approach. It’s like taking a shortcut that saves time initially but requires more effort to fix later. Technical debt can accumulate in various forms, such as…

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  • Security, a gateway to securing funding

    When private equity firms consider investing in a company, they need to ensure that every aspect of the business is sound, particularly its security and compliance measures. Whereas other components of a Technical Due Diligence (TDD) can, and do, change valuations, speed up or slow down the transaction, or mean that warranties are defined, security…

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