What happened
Organisations are increasingly integrating AI solutions, transitioning from isolated task automation to enterprise-wide systems that augment human capabilities. This deployment model assigns AI to data processing and automation functions, with human operators retaining creative and emotional intelligence roles. This shift, prevalent across technology, healthcare, and manufacturing sectors, prioritises measurable improvements in efficiency and decision-making.
Why it matters
The widespread integration of AI into core data processing and automation functions introduces a significant operational dependency, increasing exposure to system-level vulnerabilities and data integrity risks. This shift raises due diligence requirements for IT security, data governance, and compliance teams to ensure the reliability and explainability of AI-driven decisions and processes, creating a new oversight burden.
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